Mapper Satellite Imagery Research Articles

Pola Keterkaitan Perubahan Distribusi Kepadatan Vegetasi dengan Penggunaan Lahan DAS Pesisir, Case Study : DAS Garang

<p><em>The diversity and density of vegetation is key in managing sedimentation throughout the watershed, especially in the central and downstream regions. Measures of vegetation diversity and density that can be used are the Normalized Difference Vegetation Index (NDVI) which is a measure of vegetation greenness (chlorophyll levels), Normalized Difference Water Index (NDVI) to measure vegetation wetness levels, and soil adjusted vegetation index (SAVI) for low canopy vegetation cover. For watersheds that stretch long to downstream or coastal areas, the measure of land diversity needs to be supplemented by using the Normalized Difference Built-Up Index (NDBI) indicator that is useful for land use planning. Information on this vegetation index can be obtained by processing a satellite imagery map. The benefits of processing vegetation indexes in watershed management are becoming increasingly important in the era of climate change, especially with regard to efforts to harmonization of relationships between environmental elements that include the diversity of the interests of the resident population. That's why this research was done in order to find the link between natural factors including the impacts of climate change and humans. The test began by looking for changes in the NDVI, NDWI, SAVI, and NDBI indexes from the last 5 years with the Global Indicator Spatial Association (GISA) analysis using Moran's I Global Index, followedby looking for the association with the pattern of population change and the percentage of the area of the settlement. The results showed a link between moran's I Global index change pattern of population change and the spread of residential developments. The tendency of the distribution of this settlement area is an important point in analyzing the influence of its dispersal patterns in a watershed so that the continued impact of potential erosion and sedimentation triggered will be the main consideration in watershed management.</em></p>

Lithological Unit Classification Based on Geological Knowledge-Guided Deep Learning Framework for Optical Stereo Mapping Satellite Imagery

Lithological Unit Classification Based on Geological Knowledge-Guided Deep Learning Framework for Optical Stereo Mapping Satellite Imagery

Quantitative Attribution Analysis of the Spatial Differentiation of Gully Erosion in the Black Soil Region of Northeast China

Gully erosion is the major soil erosion type in the black soil region of Northeast China. However, studies on multifactor synthesis at a large scale and on the driving mechanism of spatial differentiation are still relatively lacking for gully erosion in this region. In this study, the simulation of gully erosion and its quantitative attribution analysis have been conducted in the Sancha River catchment in Northeast China, based on high-resolution satellite imagery mapping and the geodetector method. A total of 18 indicators in 6 categories, including topography, climate and weather, soil properties, lithology, land use, have been taken into consideration. The influence of each influencing factor and its interactive influence on gully erosion were quantitatively evaluated. The results showed that at the large catchment scale, the submeter images had a strong capacity for the recognition of a permanent gully and obtained satisfactory results. According to the results of the geodetector, lithology and soil type are the main factors that affect the spatial differentiation of gully erosion in the Sancha River basin, because their interpretation power for gully density and gully intensity was close to 10%. The lithology belonged to gray–white matter rhyolite, spherulite rhyolite, and crystal clastic tuff, with the highest gully density and intensity. The interpretation power of the secondary factors, including rainfall erosivity, watershed area, elevation, soil erodibility, land use pattern, slope, and distance from the river, amounted to more than 1%. The interactions among most driving factors showed nonlinear enhancement. The influence of the interaction between lithology and soil type appeared to be the largest. In particular, the lithology of different soil types accounted for 28.7% and 32.5% of the gully density and gully intensity. The interaction of factors had a stronger influence on the spatial differentiation of gully erosion than any single factor.

Can citizen scientists provide a reliable geo-hydrological hazard inventory? An analysis of biases, sensitivity and precision for the Rwenzori Mountains, Uganda

Spatio-temporal inventory of natural hazards is a challenging task especially in rural or remote areas in the Global South where data collection at regional scale is difficult. Citizen science, i.e. involvement of no-experts in collecting information and co-creation of knowledge with experts to solve societal and environmental problems, has been suggested as a viable approach to tackle this bottleneck, although the reliability of the resulting data is often questioned. Here we analyse an inventory of geo-hydrological hazards (landslides and floods) reported by a network of citizen scientists in the Rwenzori Mountains, Uganda, established since 2017. We assess the precision, sensitivity and potential biases affecting this citizen science-based hazard inventory. We compare the citizen science-based records with two independent inventories, one collected through systematic fieldwork and another by PlanetScope satellite imagery mapping for the period between May 2019 and May 2020. The precision of the geo-observer data is higher (99% and 100% for landslides and floods, respectively) than that of satellite-based data (44% and 84%, respectively) indicative of fewer false positives in the former inventory. Also, citizen scientists have a higher sensitivity in reporting landslides (51%) compared to satellite imagery (39%) in addition to being able to report the events a few days after the occurrence. In contrast, the sensitivity of satellite-based flood detection is higher than that of citizen scientists. The probability of landslide events being reported by citizen scientists depends both on citizen scientists and hazard specific features (impact, landslide-citizen scientist home distance, landslide-road access distance and altitude). Although satellite imagery mapping could result in a spatially less biased inventory, small landslides are often missed while shallow ones can easily be confused with freshly cleared vegetation. Also, in a dominantly cloudy environment, it can take several days to weeks before a cloud-free satellite image can be obtained. In summary, the typically rapid response time of citizen scientists can result in faster information with high reliability at the risk of missing out almost half of the occurrences. Citizen scientists also provide more data on impact and type of land use, something difficult to achieve using satellite imagery. Working with farmers at village level as citizen scientists can facilitate covering a wider geographical area while reducing the area monitored by each citizen scientist at the same time.

PENDEKATAN EKO-SOSIO SISTEM DALAM PENGELOLAAN POTENSI BANJIR KOTA SEMARANG

The diversity and density of vegetation is key in managing flood throughout the watershed, especially in the central and downstream regions. Measures of vegetation diversity and density that can be used are the Normalized Difference Vegetation Index (NDVI) which is a measure of vegetation greenness (chlorophyll levels), Normalized Difference Water Index (NDVI) to measure vegetation wetness levels, and soil adjusted vegetation index (SAVI) for low canopy vegetation cover. For watersheds that stretch long to downstream or coastal areas, the measure of land diversity needs to be supplemented by using the Normalized Difference Built-Up Index (NDBI) indicator that is useful for land use planning. Information on this vegetation index can be obtained by processing a satellite imagery map. The benefits of processing vegetation indexes in watershed management are becoming increasingly important in the era of climate change, especially with regard to efforts to harmonization of relationships between environmental elements that include the diversity of the interests of the resident population. That's why this research was done in order to find the link between natural factors including the impacts of climate change and humans. The test began by looking for changes in the ND VI, ND WI, SA VI, and NDBI indexes from the last 5 years with the Global Indicator Spatial Association (GISA) analysis using Moran's I Global Index followed by looking for the association with the pattern of population change and the percentage of the area of the settlement. The results showed a link between Moran's I Global Index change pattern of population change and the spread of residential developments. The tendency of the distribution of this settlement area is an important point in analyzing the influence of its dispersal patterns in a watershed so that the continued impact of potential erosion, sedimentation, and flooding triggered that will be the main consideration in watershed management.

A Combination of Landsat-8 Satellite Imaging with Geothermal Manifestation Point at Wayratai Geothermal Prospect Area to identify “the zone of interest” on Geo-track and Geo-tourism planning

In this paper, we will identify the zone of interest on Wayratai geothermal prospect area based on the Satellite Imagery Map and Geothermal Manifestation Point to make a geo-track and geo-tourism planning in the future. Based on Satellite Imagery Map, we composite several bands, such as band (6,4,2) to describe an alteration rock and composite band (4,3,2) to describe a vegetation variation. After that, we process several bands to get the land surface temperature in this area, then we correlated the satellite data with surface measurement (with X-Ray Thermogun) on several geothermal manifestations. Based on both correlation, it shows a positive correlation, such as hot spring on the East Area with temperature 70-80°C is correlated by a high value of LST (indicated by dark-red zone), fumarole with temperature 74-78°C, and steaming ground on the West Area with temperature 26-59°C. Based on this data, then we make a geo-tourism planning on this area with make geo-track to connect all of “zone of interest” on satellite imagery with regional geology spot with a circular route, so in the future, Wayratai geothermal prospect area can be one of a geo-tourism spot on Lampung Province.

Sounding out Place and Cultural Memory in Tempelhofer: Human Scale

Sounding out Place and Cultural Memory in <i>Tempelhofer: Human Scale</i>

Type of Urban Ecosystem Based on Land Use: A Study in Mapanget sub-district, Manado City

The developments that occur in Manado city, have an impact on changes in existing urban ecosystems and land use. Mapanget sub-district is an area adjacent to the suburbs, when viewed from the ecosystem typology of the land use with plantations, but due to developments in the city center, land changes and land use in the Mapanget district have changed the typology of existing urban ecosystems. The purpose of this study was to analyze land changes and land use in Mapanget sub-district in order to determine the typology of urban ecosystems. The method used is descriptive. To be able to analyze land changes and land use Arc Gis 10.3 software was used with supporting data, namely the 2002-2018 satellite imagery map, 2007-2016 land use map. Based on the results of the analysis, the changes in land use from 2002 was 86.95% reduced to 74.26%. Built land in 2002 was increased from 13.05% to 25.74%. The use of residential lands significantly increases from a land area of 394.09 ha to 733.05 ha. Research shows that the typology of urban ecosystems in Mapanget sub-district consists of absorption typology for around 1395.62 Ha (26.96%), composite ecosystems for approximately 40.54 Ha (0.78%), and production ecosystems around 3740.67 Ha (72.26%). Hence, the typology of production ecosystems is the most dominant changes in land use and more directed to the ecosystem typology of absorption, while land accretion is built at 25.74%.

Our footprint on Antarctica competes with nature for rare ice-free land

Construction and operation of research stations present the most pronounced human impacts on the Antarctic continent across a wide range of environmental values. Despite Antarctic Treaty Parties committing themselves to comprehensive protection of the environment, data on the spatial extent of impacts from their activities have been limited. To quantify this, we examined the area of building and ground disturbance across the entire continent using geographic information system mapping of satellite imagery. Here, we report the footprint of all buildings to be >390,000 m2, with an additional disturbance footprint of >5,200,000 m2 just on ice-free land. These create a visual footprint similar in size to the total ice-free area of Antarctica, and impact over half of all large coastal ice-free areas. Our data demonstrate that human impacts are disproportionately concentrated in some of the most sensitive environments, with consequential implications for conservation management. This high-resolution measurement of the extent of infrastructure across the continent can be used to inform management decisions to balance sustainable scientific use and environmental protection of the Antarctic environment.

Spatio-Temporal Assessment of Gully Erosion in the Zone of Intensive Agriculture in the European Part of Russia

Using the method of mapping by high resolution satellite imagery mapping, a study was made of the key areas which are located in the southern part of the forest, forest-steppe and steppe zones of Tatarstan and of Orenburg, Saratov and Voronezh oblasts. Two key indicators were determined: the gully length density and gully head density within the basins; results of the investigation were used in compiling respective maps in vector format. It is established that the density of the gully length in the basins varies over the range from 0 to 0.5 km/km2 (from the absence of gullies to strong gully erosion), and the density of gully heads from 0 to 3 units/km2. The slope type of gullies is dominant in all basins (about 80%), while the coastal and bottom types have approximately the same proportion (14 and 10%, respectively). Using methods of mathematical statistics we determined a high directly proportional dependence of the indicators of the contemporary gully network on the level of ploughness of the basins and the mean annual precipitation amount, and an indirectly proportional dependence on the level of sodding. An abrupt reduction in gullying indicators was determined. It was found that among the chief reasons behind an abrupt reduction in the gullies to date is a decrease of the rate of agricultural development, with an additional factor, namely, a dramatic decrease in surface runoff down the arable slopes during spring snowmelt caused by climate warming. It is concluded that that a significant part of the gully forms in the study area is currently inactive and massively passes into the balka stage.

Diversity and distribution of Dorippid Crabs (Brachyura: Dorippidae) in East Coast of Lampung, Indonesia

Dorippid crabs (Brachyura: Dorippidae) commonly live in sand or mud substrate at shallow coastal water. These crabs are a macro-benthos, mostly found in tropic, have no economic value, but have high abundance in blue swimming crab habitat and lack information in Indonesia. This study aims to determine diversity and species distribution of dorippid crabs in East Coast of Lampung, Indonesia. This study was conducted on March-April 2017 in seven locations along coastal area (i.e. Labuhan Maringgai, Kuala Penet, Sekopong, Wako, Seputih, Sungai Burung, and Kuala Teladas). The specimen was collected from the blue swimming crab gill-net fishery as by-catch. Each location found by this family was noted at coordinate point at satellite imagery map and processed using ArcGIS. Two species have been found, there are Dorippe quadridens and Dorippoides facchino. Both species were found at every location, except D. quadridens at Sungai Burung as well as D. facchino in Sekopong. There are 74% among the sample of fishermen caught D. quadridens in those areas with an average number of 36 individuals and weight of 959 grams. While, 40% of fishermen caught D. facchino with an average number of 17 individuals and weight 152 grams.

DEM generation using Ziyuan-3 mapping satellite imagery without ground control points

ABSTRACTThis article proposes a digital elevation model (DEM) generation approach using the Shuttle Radar Topography Mission (SRTM) DEM as the elevation constraint without ground control points. First, during the process of image block adjustment, we took advantage of the relatively high vertical accuracy of the SRTM-DEM in flat terrain regions and applied effective constraints on the object-space elevation-corrected value of tie points using the SRTM-DEM, achieving improved vertical accuracy for large-scale block adjustments. Subsequently, for the DEM matching process, multiple two-linear array stereo image pairs were obtained from along-track and across-track images with different look angles over the same region after the block adjustment. Then, the matching result of each stereo image pair underwent weighted fusion, before being used to generate the final DEM product. This approach can effectively enhance the matching quality and grid density of the final DEM product. The DEM generation experiment, using Ziyuan-3 images covering 186,000 km2 of Hubei Province, China, showed that the matching quality of the 10 m grid DEM was excellent. The vertical root mean square errors were 1.5 m in the flat regions and 2.96 m in the mountainous regions, thus achieving China’s 1:25,000 scale specification requirement for DEM products.

3D model and morphometry of the Beringin watershed as an effort for flash flood disaster risk reduction in Semarang

The Beringin watershed is one of the watersheds (DAS) located in Semarang, Central Java, Indonesia. During 2010 – 2017 in this watershed area, there have been 8 flood disasters, the last two of which changed from an inundation flood to a flash flood type. The objective of this research is to investigate the characteristics of the rivers or the morphology of the watershed by 1) creating a three-dimensional spatial model of the Beringin watershed and describing its physical profiles and shapes, 2) arranging a satellite imagery map of the settlement at risk of flash flood disaster surrounding the watershed, 3) mapping the morphometric of the watershed, which consists of the landslide potential, the narrowing of river bodies and calculating the peak discharge in order to get the trigger factor of the flash flood, and 4) mapping the vulnerability of the Beringin watershed to minimize the flash flood disaster risk. The research method conducted was a combination of qualitative and quantitative approaches. Clearly, that the output of this research will contribute to the conservation of the Beringin watershed whose outcome is the reduction of the flash flood disaster risk affecting the communities surrounding the Beringin watershed.

Mapping Land Used After Bricks Mining Area at Potorono Village Banguntapan Yogyakarta

The degradation on the soil after bricks mining was limited land used to agriculture plant in fields. The out put this research to know land used after mining in the various depths after bricks mining. The mapping was land used after bricks mining in the six villages mining at Potorono Banguntapan District of Yogyakarta in the 2016. The method of this research was used survey techniques and over lapping map land use. Mapping base was used satellite imagery map to determine the boundaries of operations, and then use the map was used various soil deeper in mining. The map of the plant is determining on the land use after the land was reclamation lands. The result of this research is mapping irrigated lands, settlements, gardens, and field moor at several debts after bricks mining. The pasca bricks mining will be restrict land use of agricultural. At mining on the depth about 100 cm was grown by paddy soil in land, while the mining of more than 200 cm, the wetland is unsuitable by paddy soil. The limited alternative of agriculture plants was determined by the level of decline fertility and organic matter in soil, add bulk density and sand content in the soil. In the former bricks mining can be planted with paddy soil is an area with good irrigation requirements with a production under 7 tones per hectare. While in the mining above 200 cm and nothing irrigation, the farmers will be grown crops with irrigation depends on the rain. The conclusion on the research is content of organic matter in the mining was important by nutrient storage soil. The amelioration to marginal soil was soil structure repaired by organic matter for water and nutrient storage. The nutrient was sufficient to determine on reclamation to growth of plants after the mining for sustainability agriculture. On the brick mining was allowed soil take at top soils, after mining it must be done as soon as possible for reclamation land towards sustainability agriculture.

Adaptive enhancement of compressed SAR images

Synthetic aperture radar (SAR) imagery is an important global all-weather surveillance and mapping satellite imagery system. As space-borne systems have a limited storage capacity, it is imperative to heavily compress SAR images, possible with lossy compression schemes. As a result, SAR images need to be enhanced in earth stations. The work reported in this paper aims to address the issue of compression artefact removal of SAR images in an adaptive manner. The SAR images, compressed using the JPEG utility at significantly low bit rates, are enhanced by adaptively removing coding artefacts and speckle noise. As edges carry significant information in satellite imagery, a significant edge image is used for edge enhancement with selective removal of noisy edges. Further, an image sharpness metric is proposed in this work to serve as an objective no-reference metric for measuring the sharpness of SAR images.

Comparison of NAIP orthophotography and RapidEye satellite imagery for mapping of mining and mine reclamation

National Agriculture Imagery Program (NAIP) orthophotography is a potentially useful data source for land cover classification in the United States due to its nationwide and generally cloud-free coverage, low cost to the public, frequent update interval, and high spatial resolution. Nevertheless, there are challenges when working with NAIP imagery, especially regarding varying viewing geometry, radiometric normalization, and calibration. In this article, we compare NAIP orthophotography and RapidEye satellite imagery for high-resolution mapping of mining and mine reclamation within a mountaintop coal surface mine in the southern coalfields of West Virginia, USA. Two classification algorithms, support vector machines and random forests, were used to classify both data sets. Compared to the RapidEye classification, the NAIP classification resulted in lower overall accuracy and kappa and higher allocation disagreement and quantity disagreement. However, the accuracy of the NAIP classification was improved by reducing the number of classes mapped, using the near-infrared band, using textural measures and feature selection, and reducing the spatial resolution slightly by pixel aggregation or by applying a Gaussian low-pass filter. With such strategies, NAIP data can be a potential alternative to RapidEye satellite data for classification of surface mine land cover.

Triple linear-array image geometry model of ZiYuan-3 surveying satellite and its validation

ZiYuan-3 (ZY-3) surveying satellite is China's first civilian high-resolution stereo mapping satellite. The satellite's objective is oriented towards plotting 1:50,000 and 1:25,000 topographic maps. Compared with plotting using foreign commercial mapping satellite imagery, establishment of the image geometry model is the core technical problem for different products and various applications of ZY-3 surveying satellite. This article analyses key problems of high-precision geometry processing based on the overall design, and proposes ZY-3 surveying satellite image geometry model with the technology of virtual CCD line-array imaging. In addition, this article utilises the first orbit imagery of ZY-3 satellite with coverage of Dalian region in Liaoning Province, and produces forward, backward and nadir camera calibrated products. Different ground control points are selected for the block adjustment experiment and the digital surface model (DSM), digital ortho-map (DOM) are generated. The accuracy is validated by check points. The experiment reveals that the planar accuracy of DOM and vertical accuracy of DSM are better than 3 m and 2 m, respectively. The experiment demonstrates the effectiveness of ZY-3 surveying satellite image geometry model.

Making and distributing satellite imagery map using pre- and post-earthquake data observed by ALOS and THEOS

Making and distributing satellite imagery map using pre- and post-earthquake data observed by ALOS and THEOS

High-Resolution Satellite Imagery Mapping of the Surface Rupture and Slip Distribution of the Mw 7.8, 14 November 2001 Kokoxili Earthquake, Kunlun Fault, Northern Tibet, China

The Mw 7.8 Kokoxili earthquake of 14 November 2001, which ruptured a 450-km-long stretch of the sinistral Kunlun strike-slip fault, at the northeastern edge of the Tibet plateau, China, ranks as the largest strike-slip event ever recorded instrumentally in Asia. Newly available high-resolution satellite HRS images (pixel size 1 m) acquired in the months following the earthquake proved a powerful tool to complement field investigations and to produce the most accurate map to date of the coseismic displacements along the central Kusai Hu segment of the rupture. The coseismic rupture geometry south and west of Buka Daban Feng, near the earthquake epicenter, was also investigated in detail. Along the Kusai Hu segment, slip parti- tioning is for the first time observed to occur simultaneously during a single event, with two parallel strands, 2 km apart, localizing almost pure strike-slip and normal faulting. In all, 83 new HRS coseismic offset measurements, some of which calibrated by field work, show large, well-constrained variations (100%) of the slip function over distances of only25 km. Tension cracks opening ahead of the shear dislocation and later offset by the upward propagating strike-slip rupture were observed, dem- onstrating that the rupture front propagated faster at depth than near the surface. The triple junction between the central Kusai Hu segment, the Kunlun Pass fault, where the rupture ended, and the Xidatan-Dongdatan segment, which could be the next segment to fail along the main Kunlun fault, acted as a strong barrier, implying that direct triggering of earthquake rupture on the Xidatan-Dongdatan segment by Kokoxili-type earthquakes may not be the rule.

Extending satellite remote sensing to local scales: land and water resource monitoring using high-resolution imagery

The potential of high-resolution IKONOS and QuickBird satellite imagery for mapping and analysis of land and water resources at local scales in Minnesota is assessed in a series of three applications. The applications and accuracies evaluated include: (1) classification of lake water clarity (r2=0.89), (2) mapping of urban impervious surface area (r2=0.98), and (3) aquatic vegetation surveys of emergent and submergent plant groups (80% accuracy). There were several notable findings from these applications. For example, modeling and estimation approaches developed for Landsat TM data for continuous variables such as lake water clarity and impervious surface area can be applied to high-resolution satellite data. The rapid delivery of spatial data can be coupled with current GPS and field computer technologies to bring the imagery into the field for cover type validation. We also found several limitations in working with this data type. For example, shadows can influence feature classification and their effects need to be evaluated. Nevertheless, high-resolution satellite data has excellent potential to extend satellite remote sensing beyond what has been possible with aerial photography and Landsat data, and should be of interest to resource managers as a way to create timely and reliable assessments of land and water resources at a local scale.