Parcel Boundaries Research Articles

Assessing the usefulness of the photogrammetric method in the process of capturing data on parcel boundaries

Abstract A parcel is the most important object of real estate cadastre. Its primary spatial attribute are boundaries, determining the extent of property rights. Capturing the data on boundaries should be performed in the way ensuring sufficiently high accuracy and reliability. In recent years, as part of the project “ZSIN – Construction of Integrated Real Estate Information System – Stage I”, in the territories of the participating districts, actions were taken aimed at the modernization of the register of land and buildings. In many cases, this process was carried out basing on photogrammetric materials. Applicable regulations allow such a possibility. This paper, basing on the documentation from the National Geodetic and Cartographic Documentation Center and on the authors’ own surveys attempts to assess the applicability of the photogrammetric method to capture data on the boundaries of cadastral parcels. The scope of the research, most importantly, included the problem of accuracy with which it was possible to determine the position of a boundary point using photogrammetric surveys carried out on the terrain model created from processed aerial photographs. The article demonstrates the manner of recording this information in the cadastral database, as well as the resulting legal consequences. Moreover, the level of reliability of the entered values of the selected attributes of boundary points was assessed.

Individual parcellation of resting fMRI with a group functional connectivity prior

Cortical parcellation based on resting fMRI is an important tool for investigating the functional organization and connectivity of the cerebral cortex. Group parcellation based on co-registration of anatomical images to a common atlas will inevitably result in errors in the locations of the boundaries of functional parcels when they are mapped back from the atlas to the individual. This is because areas of functional specialization vary across individuals in a manner that cannot be fully determined from the sulcal and gyral anatomy that is used for mapping between atlas and individual. We describe a method that avoids this problem by refining an initial group parcellation so that for each subject the parcel boundaries are optimized with respect to that subject's resting fMRI. Initialization with a common parcellation results in automatic correspondence between parcels across subjects. Further, by using a group sparsity constraint to model connectivity, we exploit group similarities in connectivity between parcels while optimizing their boundaries for each individual. We applied this approach with initialization on both high and low density group cortical parcellations and used resting fMRI data to refine across a group of individuals. Cross validation studies show improved homogeneity of resting activity within the refined parcels. Comparisons with task-based localizers show consistent reduction of variance of statistical parametric maps within the refined parcels relative to the group-based initialization indicating improved delineation of regions of functional specialization. This method enables a more accurate estimation of individual subject functional areas, facilitating group analysis of functional connectivity, while maintaining consistency across individuals with a standardized topological atlas.

The Low-Cost UAV-Based Remote Sensing System Capabilities for Large Scale Cadaster Mapping

There is at least 190 million hectare of Indonesia's land part area that should be mapped in large scale cadaster maps. The completion of cadaster maps up to scale 1/2500 are still an open problems. The very high resolution images with spatial resolution less than 10cm can be a good choice to be able to see a parcel boundary. The use of Unmanned Aerial Vehicle- based remote sensing system can produce aerial photograph with spatial resolution less than 10cm. For keeping UAV-based system low-cost, the system architecture consists of (1) aerial platform from hobby aeromodelling; (2) consumers grade camera sensor; (3) a low-cost GPS logger for ground control survey; (4) an open source structure from motion processing; and (5) an open source GIS software. This system was tested for producing a cadaster base map in a paddy field area at Trimulyo village at Bantul Region. The high resolution image with Ground Sampling Distance up to 7 cm can easily to see a parcel boundary and some of boundary markers. Some of the parcel areas were used for geometric evaluation. The bundle adjustment with 9 Ground Control Points (GCP) shows the error less than 12 cm in all coordinates component. Meanwhile, the percentage of area differences from some parcel samples show less than 5% of differences. In future, the potential use of a GPS kinematic assisted photo flight should be explored in accordance to reduce the need for GCP survey.

Determining Consistency of Tillage Direction with Soil Erosion Protection Requirements as The Element of Decision-Making Process in Planning and Applying Land Consolidation

Water erosion is one of the factors which have negative effect on soil productivity. It often leads to irreversible soil degradation, making soil worthless for agricultural activities. One way of preventing water erosion is making the direction of cultivation perpendicular to the direction of rainwater run-off. Matching the direction with the shape of parcels boundaries in small and extended ones is often possible only through changes in the configuration of property boundaries, which is possible only in the process of land consolidation. The article presents methodology of qualifying the areas for changes in boundaries configuration and cultivation direction in view of existing erosion risk. A computation process was suggested that uses, among others, LIDAR data to model the terrain shape precisely as well as cadastral data that defines the geometry of parcels and, resulting from it, the direction of cultivation and form of use. The suggested process includes also the information on the texture of soil upper horizons from soil agricultural maps. The RUSLE erosion model was applied and the computation process took place in ArcGIS environment with the use of dedicated algorithms suggested and implemented to solve the formulated problem. Computations were conducted for test area of several hundred hectares which was characterized by vast diversity of soil types and landforms. The results prove the usefulness of the suggested method as an element of systems that support decision-making processes used in the stage of determining objects chosen for the realization of consolidating processes (including local consolidation, which covers only chosen fragment of a village). They can also be used in the stage of completing detailed plans of parcels distribution in land consolidation process. The importance of the method is particularly seen in the analysis of areas where land fragmentation indices are unfavourable. Especially in these cases, without the reorganization of boundaries, it is impossible to adapt the direction of cultivation to the requirements of protection against erosion.

Accurate area determination in the cadaster: case study of Slovenia

ABSTRACTThis paper discusses methodological problems of accurate area determination in the cadaster. The paper contrasts the ambiguous legal definition of the parcel boundary and parcel area in relation to the theoretically well-defined geodetic parcel boundary and the geodetic parcel area on the reference ellipsoid. To align with the real world, parcel area must account for terrain elevation. Various approximate methods for area determination which can be used in the cadaster are tested. A highly accurate method for parcel area computation is proposed, based on an equal-area projection. Considering the geodetic parcel area as a reference, the achievable accuracy of different methods is evaluated. For this analysis, the coordinates of the parcel boundary points are treated as error-free. Finally, the relevance of various systematic errors is discussed in relation to the statistical uncertainty of the parcel area, which could be gained by an a real-time kinematic GNSS survey. A case study is presented for the territory of Slovenia, its georeferencing rules, land demarcation pattern, and characteristics of its topography. Based on the results of this study, some general recommendations for the parcel area determination are given.

Smart City and Geospatial Information Availability, Current Status in Indonesian Cities

Developing smart city requires many types of information, including geospatial information. Geospatial information serves as the base data from which other data will be referenced upon. The production, provision and dissemination of geospatial information in Indonesia are regulated by Law 4/2011 on Geospatial Information. However, only few areas have been mapped at the scale of 1:10,000 and 1:5,000. This situation left many cities without large scale map able to depict building footprints or parcel boundaries. To obtain information on the geospatial information availability in Indonesian cities, a survey has been carried out nationally from April – July 2015, as part of a research on spatial data infrastructure. 90 cities/districts participated in the survey. The findings show that majority of the cities/districts have limited availability of large scale topographic maps and land parcel maps. With regard to developing smart cities, these issues should be put in the mainstream to get higher priority.

Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data

For many applied problems in agricultural monitoring and food security, it is important to provide reliable crop classification maps. Satellite imagery is extremely valuable source of data to provide crop maps in a timely way at moderate and high spatial resolution. Information on parcel boundaries that takes into account the spatial context may improve the quality of maps compared to pixel-based classification approaches. In general, parcels may contain several plots with different crops and such situations should be taken into account when using parcel boundaries. In this paper, we aim to compare pixel-based and parcel-based approaches to crop classification from multitemporal optical (Landsat-8) and synthetic-aperture radar (SAR) Sentinel-1 imagery. For this, we propose a parcel-based approach that involves a pixel-based classification map and specifically designed rules to account for several plots within parcel. The study is carried out for the Joint Experiment of Crop Assessment and Monitoring test site in Ukraine covering the Kyiv oblast (North of Ukraine) in 2013–2015, and the Odessa oblast (South of Ukraine) in 2014–2015. We found that pixel-based overall classification accuracy can be increased from 85.32% to 89.40% when using parcel boundaries. Among tested parcel-based approaches, the one that relied on pixel-based classification map and a procedure to select multiple plots within the parcel yielded the best performance.

A spatially based artificial neural network mass valuation model for land consolidation

Land consolidation, which aims to promote sustainable development of rural areas, involves the reorganization of space through land reallocation, both in terms of ownership and land parcel boundaries. Land reallocation, which is the core part of such schemes, is based on land values because each landowner is entitled to receive a property with approximately the same land value after land consolidation. Therefore, land value, which in the case of Cyprus is the market value, is a critical parameter, and hence it should be reliable, accurate, and fairly valued. However, the conventional land valuation process has some weaknesses. It is carried out manually and empirically by a five-member Land Valuation Committee, which visits every unique parcel in the consolidated area to assign a market value. As a result, it is time consuming and hence costly. Moreover, the outcomes can be inconsistent across valuators for whom, in the case of such a mass appraisal procedure, it is hard to analytically calculate the scores for a series of land valuation factors and compare all of these for hundreds of land parcels using a manual process. A solution to these shortcomings is the use of automated valuation models. In this context, this paper presents the development, implementation, and evaluation of an artificial neural network automated valuation model combined with a geographical information system applied in a land consolidation case study area in Cyprus. The model has been tested for quality assurance based on international standards. The evaluation showed that a sample of 15% of the selected land parcel values provided by the Land Valuation Committee is adequate for appraising the land values of all parcels in the land consolidation area with a high or acceptable accuracy, reliability, and consistency. Consequently, the automated valuation model is highly efficient compared to the conventional land valuation method since it may reduce time and resources used by up to 80%. Although the new process is based partly on the Land Valuation Committee sample, which inherently carries inconsistencies, it is systematic, analytical, and standardized, hence enhancing transparency. The comparison of artificial neural networks with similar linear and nonlinear models applied to the same case study area showed that it is capable of producing better results than the former and similar outcomes to the latter.

Eulerian and Lagrangian stagnation plane behavior of moderate Reynolds number round opposed-jets flow

Turbulent opposed jet (TOJ) flow is characterized by an unsteady stagnation plane formed by two counter-flowing jets. The complicated behavior of the stagnation plane significantly affects the turbulence characteristics in the impinging zone. In this study, direct numerical simulations (DNS) were performed to study the dynamic behavior of the stagnation plane in a three-dimensional round opposed-jet flow with a moderate Reynolds number (Re=4050). Proper orthogonal decomposition (POD) analysis was used to study the behavior of the Eulerian stagnation plane (ESP) and vortex structures. The results show that the first POD mode dominates the axial movement of the stagnation plane, and it contributes most of the axial velocity fluctuation. The stagnation plane is found to tilt relative to the normal direction of the jet flow by the second to fourth POD modes. The shape of the stagnation plane can be reconstructed to a large extent through the dominant POD modes (namely the first four modes). The Lagrangian property of the stagnation plane was investigated through calculation of the field of finite-time Lyapunov exponents (FTLE), in which the ridges can identify the Lagrangian coherent structures (LCSs) in the turbulent opposed jet flow. Throughout the domain three different types of LCSs were found, corresponding to the axial jet region, impinging zone and radial jet area. A Lagrangian stagnation plane (LSP) is defined as the LCS in the impinging zone, which indicates the boundary of the fluid parcels from the two nozzles. A discrepancy between the ESP and LSP was displayed, and this finding implies a backflow phenomenon, which means the moving impermeable LSP always forces the fluid parcels ahead of the LSP to move toward the ESP. As a result of this analysis, the unstable behavior of the stagnation plane is demonstrated.

Parcel Boundary Demarcation in Agricultural Area Using High Resolution Aerial Images and Aerial Targets

Parcel boundary demarcation in agricultural area is commonly performed by terrestrial surveying methods, which have been pointed out as drawbacks to require consuming too much time and heavy expenditure. With the developments of high performance digital aerial cameras, however, studies on cadastral boundary demarcation with an aerial photogrammetric method attract a great attention in recent years. In this paper, an approach is presented to rapidly demarcate parcel boundaries coinciding with real ground ones in agricultural areas by extracting boundaries from the high resolution aerial orthoimages based on aerial targets. In order to investigate the feasibility of the proposed method, the accuracy of coordinates and area of parcel boundaries extracted from the aerial targets appeared in orthoimages compared with that of terrestrial boundary surveying results over the selected two test agricultural areas. Aerial image data were processed taken by a ADS80 digital camera with a GSD of 8cm in Changwon region, and by a DMCII camera with a GSD of 5cm in Suwon respectively. The result shows that the accuracy of parcel demarcation using aerial images is within the tolerance limits of coordinates and areas compared with that of terrestrial surveying. The proposed method using aerial target-based high resolution aerial images is therefore expected to be usefully applied in the agricultural parcel demarcation.

무인 항공사진측량에 의한 농경지 필지 경계설정 정확도

최근 초경량 무인비행장치(UAS: Unmanned Aerial System)에 저가의 소형 항법장치와 카메라 등의 센서를 탑재하여 지상의 공간정보를 신속하고 정확하게 취득하는 무인항공사진측량(UAV Photogrammetry)이 크게 주목받고 있다. 특히, 무인 항공사진측량은 저가의 일반 카메라로 취득된 다량의 고해상 영상을 컴퓨터 비전기술을 접목한 영상처리 소프트웨어로 정사영상과 DEM 등을 신속히 생성할 수 있어 기존의 항공사진측량을 서서히 대체하고 있다. 따라서 무인항공사진측량의 활용분야는 정밀한 위치정보를 요구하는 대축척 지형도제작과 지적측량 등에까지 확장 적용되고 있다. 본 연구에서는 고정익 무인항공기로 지상표본거리(GSD: Ground Sample Distance) 4cm로 촬영된 영상을 이용하여 농경지 필지의 경계설정 정확도 실험 결과를 소개하였다. 연구결과, 지적현황측량 성과와 비교하여 무인항공 정사영상으로부터 추출된 필지경계점의 정확도는 8cm미만으로 축척 1:500 지적측량을 위한 연결교차의 허용범위를 만족하였다. 그리고 면적오차는 비교 기준면적인 1,969m²에 비하여 약 0.2%(3.3m²) 미만의 무시가능한 미소 오차가 발생하였다. 따라서 무인항공사진측량은 농경지의 필지경계 설정을 위하여 충분히 적용 가능한 전도유망한 기술임을 입증하였다. In recent years, UAV Photogrammetry based on an ultra-light UAS(Unmanned Aerial System) installed with a low-cost compact navigation device and a camera has attracted great attention through fast and accurate acquirement of geo-spatial data. In particular, UAV Photogrammetry do gradually replace the traditional aerial photogrammetry because it is able to produce DEMs(Digital Elevation Models) and Orthophotos rapidly owing to large amounts of high resolution image collection by a low-cost camera and image processing software combined with computer vision technique. With these advantages, UAV-Photogrammetry has therefore been applying to a large scale mapping and cadastral surveying that require accurate position information. This paper presents experimental results of an accuracy performance test with images of 4cm GSD from a fixed wing UAS to demarcate parcel boundaries in agricultural area. Consequently, the accuracy of boundary point extracted from UAS orthoimage has shown less than 8cm compared with that of terrestrial cadastral surveying. This means that UAV images satisfy the tolerance limit of distance error in cadastral surveying for the scale of 1: 500. And also, the area deviation is negligible small, about 0.2%(3.3m²), against true area of 1,969m² by cadastral surveying. UAV-Photogrammetry is therefore as a promising technology to demarcate parcel boundaries.

The assessment of the influence of cadastral parcel boundary points location errors on the accuracy of analytical determination of their surface area

The assessment of the influence of cadastral parcel boundary points location errors on the accuracy of analytical determination of their surface area

Cadastral Systems Re-engineering in Urban Zimbabwe

Land is undoubtedly the most important resource in any country as it contributes to economic development. The cadastre is a component of the land administration system (LAS) that is crucial for managing land. It is thus of importance for a nation to have both a functional cadastral system for determining parcel boundaries and a functional cadastral information system, for managing the land parcels. The cadastral survey system and cadastre in Zimbabwe are largely manual with even the lodgement of completed surveys for examination and approval still analogue. This has an impact on the time it takes to complete a land transaction. Land can ideally drive the economy yet part of the value is lost due to lengthy land transaction procedures. The land administration system is supposed to consist of value adding processes in which several actors interact in a workflow which creates new or transfers parcels. This workflow is associated with transaction costs, part of which can be employed for maintenance of the cadastral information system. This article presents business processes for the land development process in Zimbabwe but focusing on City of Gweru (CoG) and City of Mutare (CoM) municipalities as the major organisations under study. Municipalities in Zimbabwe are governed by the Regional Town and Country Planning Act, so such a single process and workflow model can fit into the cadastral information system of all municipalities in Zimbabwe with insignificant changes. The broader scope of this study is towards the design of a conceptual schema for automating the land administration system and particularly, the cadastre component, for municipalities in Zimbabwe. This study presents the workflows for the current land development system with CoG and CoM as the current focal points. Information on current automation efforts or reforms by other major municipalities to include Bulawayo, Kadoma and Kariba is also presented. The overall theme of this paper is to discuss cadastral reform through automation of cadastral processes in municipalities.

Micro-scale urban surface temperatures are related to land-cover features and residential heat related health impacts in Phoenix, AZ USA

With rapidly expanding urban regions, the effects of land cover changes on urban surface temperatures and the consequences of these changes for human health are becoming progressively larger problems. We investigated residential parcel and neighborhood scale variations in urban land surface temperature, land cover, and residents’ perceptions of landscapes and heat illnesses in the subtropical desert city of Phoenix, AZ USA. We conducted an airborne imaging campaign that acquired high resolution urban land surface temperature data (7 m/pixel) during the day and night. We performed a geographic overlay of these data with high resolution land cover maps, parcel boundaries, neighborhood boundaries, and a household survey. Land cover composition, including percentages of vegetated, building, and road areas, and values for NDVI, and albedo, was correlated with residential parcel surface temperatures and the effects differed between day and night. Vegetation was more effective at cooling hotter neighborhoods. We found consistencies between heat risk factors in neighborhood environments and residents’ perceptions of these factors. Symptoms of heat-related illness were correlated with parcel scale surface temperature patterns during the daytime but no corresponding relationship was observed with nighttime surface temperatures. Residents’ experiences of heat vulnerability were related to the daytime land surface thermal environment, which is influenced by micro-scale variation in land cover composition. These results provide a first look at parcel-scale causes and consequences of urban surface temperature variation and provide a critically needed perspective on heat vulnerability assessment studies conducted at much coarser scales.

TOWARDS A GENERIC METHOD FOR BUILDING-PARCEL VECTOR DATA ADJUSTMENT BY LEAST SQUARES

Abstract. Being able to merge high quality and complete building models with parcel data is of a paramount importance for any application dealing with urban planning. However since parcel boundaries often stand for the legal reference frame, the whole correction will be exclusively done on building features. Then a major task is to identify spatial relationships and properties that buildings should keep through the conflation process. The purpose of this paper is to describe a method based on least squares approach to ensure that buildings fit consistently into parcels while abiding by a set of standard constraints that may concern most of urban applications. An important asset of our model is that it can be easily extended to comply with more specific constraints. In addition, results analysis also demonstrates that it provides significantly better output than a basic algorithm relying on an individual correction of features, especially regarding conservation of metrics and topological relationships between buildings. In the future, we would like to include more specific constraints to retrieve the actual positions of buildings relatively to parcel borders and we plan to assess the contribution of our algorithm on the quality of urban application outputs.

Edge-pixels-based support vector data description for specific land-cover distribution mapping

An edge-pixels-based support vector data description (EPSVDD) method has been developed for improving one-class classification accuracy. The proposed method was validated in two experiments: a simulated experiment and an actual experiment. In the simulated experiment, a ring segmentation search method was performed to segment the wheat spectral feature for deriving training samples of different spectral responses. As the training data moved from the center to the edge of wheat distribution, the hypersphere expanded and the overall accuracy (OA) simultaneously increased, highlighting the potential advantage of edge pixels in SVDD classification. In the actual experiment, edge training samples were manually acquired from geographical parcel boundary and minimum noise fraction (MNF) scatterplots for both wheat and bare-land classes. For the wheat class, EPSVDD yielded an improved classification with an OA of 92.71% and a producer’s accuracy of 95.81%, which were higher than those of conventional SVDD method using typical training samples. Similarly, for the bare-land class, the OA of the EPSVDD was 92.53%, which was also significantly higher than traditional SVDD method. Then, SVDD classifications were carried out and repeated 10 times using different training set sizes. Mean OAs were almost higher than 0.9 with variance less than 0.03 using edge training samples, while highest OAs for wheat and bare land classes were 0.74 and 0.81, respectively, using random sampling method. The EPSVDD can effectively select the informative training sample for SVDD classifier to improve the accuracy of one-class classification.

Mapping of Agricultural Crops from Single High-Resolution Multispectral Images—Data-Driven Smoothing vs. Parcel-Based Smoothing

Mapping agricultural crops is an important application of remote sensing. However, in many cases it is based either on hyperspectral imagery or on multitemporal coverage, both of which are difficult to scale up to large-scale deployment at high spatial resolution. In the present paper, we evaluate the possibility of crop classification based on single images from very high-resolution (VHR) satellite sensors. The main objective of this work is to expose performance difference between state-of-the-art parcel-based smoothing and purely data-driven conditional random field (CRF) smoothing, which is yet unknown. To fulfill this objective, we perform extensive tests with four different classification methods (Support Vector Machines, Random Forest, Gaussian Mixtures, and Maximum Likelihood) to compute the pixel-wise data term; and we also test two different definitions of the pairwise smoothness term. We have performed a detailed evaluation on different multispectral VHR images (Ikonos, QuickBird, Kompsat-2). The main finding of this study is that pairwise CRF smoothing comes close to the state-of-the-art parcel-based method that requires parcel boundaries (average difference ≈ 2.5%). Our results indicate that a single multispectral (R, G, B, NIR) image is enough to reach satisfactory classification accuracy for six crop classes (corn, pasture, rice, sugar beet, wheat, and tomato) in Mediterranean climate. Overall, it appears that crop mapping using only one-shot VHR imagery taken at the right time may be a viable alternative, especially since high-resolution multitemporal or hyperspectral coverage as well as parcel boundaries are in practice often not available.

고해상도 항공영상을 이용한 주거지역 필지경계 설정에 관한 연구

As part of an effort to leap smart cadastre system by doing rearrangement of various mismatches in the land register, the cadastre renovation project is being recently conducted. In response to this demand, this paper proposes an image-based rapid parcel boundary demarcation plan using the high resolution aerial image with a GSD (Ground Sample Distance) of 5cm that matches to real ground boundary situation in residential area. To review the feasibility and accuracy of this proposed methodology, we compared the accuracy of parcel boundary point and parcel area extracted from the digital stereo plotting on the basis of results of cadastral boundary surveying and land register over the selected two test areas. The comparative accuracy result of all boundary points by digital stereo plotting is satisfied with accuracy requirement according to the criteria of the enforcement regulation of cadastral surveying, whereas it exceeded allowable error of , more strictly specified in the Special Act on Cadastral Renovation. And about 20% of the total 70 parcels extracted by digital plotting are out of area tolerance in Jecheon study area, and 10% of the total 19 parcels in Suwon study area. The parcels exceeding accuracy limit are mostly due to the occlusion caused by building roof or eaves, and the obstacles such as trees existing on the boundary. Furthermore, an object identification is impossible in image because of vague boundary reference in case of nonexistence of man-made structures or natural features. Therefore, the utilization of boundary identification stickers is recommended as a solution for these types of land parcel.

A comparison of three policy approaches for tobacco retailer reduction

BackgroundThe Institute of Medicine recommends that public health agencies restrict the number and regulate the location of tobacco retailers as a means of reducing tobacco use. However, the best policy strategy for tobacco retailer reduction is unknown. PurposeThe purpose of this study is to test the percent reduction in the number and density of tobacco retailers in North Carolina resulting from three policies: (1) prohibiting sales of tobacco products in pharmacies or stores with a pharmacy counter, (2) restricting sales of tobacco products within 1000ft of schools, and (3) regulating to 500ft the minimum allowable distance between tobacco outlets. MethodsThis study uses data from two lists of tobacco retailers gathered in 2012, one at the statewide level, and another “gold standard” three-county list. Retailers near schools were identified using point and parcel boundaries in ArcMap. Python programming language generated a random lottery system to remove retailers within 500ft of each other. Analyses were conducted in 2014. ResultsA minimum allowable distance policy had the single greatest impact and would reduce density by 22.1% at the state level, or 20.8% at the county level (range 16.6% to 27.9%). Both a pharmacy and near-schools ban together would reduce density by 29.3% at the state level, or 29.7% at the county level (range 26.3 to 35.6%). ConclusionsThe implementation of policies restricting tobacco sales in pharmacies, near schools, and/or in close proximity to another tobacco retailer would substantially reduce the number and density of tobacco retail outlets.

The Potential of UAV-based Remote Sensing for Supporting Precision Agriculture in Indonesia

This paper shows some practical experiences of using Unmanned Aerial Vehicle-(UAV) based platform for remote sensing in supporting precision agriculture mapping. Some of the information for land preparation, cadaster boundary, vegetation monitoring, plant healthy, and stock valuation are required periodically. So, the UAV-Based remote sensing system should have characteristics such as cost-effective, fast in producing, easy in operation by local staff, and good geometry accuracy (sub-meter). The system consists of aerial platforms from R/C plane, point and shoots digital cameras, data processing with digital photogrammetric: structure from motion algorithms, and free open source-GIS for visualizing. This system has the ability to produce imagery with spatial resolution <10cm, measuring parcel area, assess the individual trees or plants stock, and topography. The basic products of the system are Orthophoto Image and Digital Elevation Model (DEM). The Average geometric accuracy can be obtained up to 3 pixels or equivalent to sub-meter accuracy, while the production time can be reached more than 500Ha a day. The Orthophoto image could provide visual interpretation such as the individual trees structure, plant density, and parcel boundary area, while DEM could asses tree's height information and terrain topography with accuracy 3-6 pixel or 0.5-2.5 m.