Abstract
The objective of this paper is to monitor the temporal behaviour of geometrical structural change of cropland affected by four different types of damage: weed infection, Western Corn Rootworm (WCR), storm damage, and drought by time series of different type of optical and quad-pol RADARSAT2 data. Based on our results it is established that ragweed infection in sunflower can be well identified by evaluation of radar (mid-June) and optical (mid-August) satellite images. Effect of drought in sunflower is well recognizable by spectral indices derived from optical as well as “I”-component of Shannon entropy (SEI) from radar satellite images acquired during the first decade of July. Evaluation of radar and optical satellite images acquired between the last decade of July and mid-August proven to be the most efficient for detecting damages in maize fields caused by either by WCR or storm. Components of Shannon entropy are proven to have significant role in identification. Our project demonstrates the potential in integrated usage of polarimetric radar and optical satellite images for monitoring several types of agricultural damage.
Highlights
Polarimetric characteristics of various crop types have been studied by a number of authors [1,2,3]
The polarimetric features can be applied for assessment of crop condition, identification of crop types, and phenological phases of crops [4,5,6,7]
This paper presents the results of coevaluation of multitemporal RADARSAT-2 and optical satellite images regarding to the abovementioned damage
Summary
Polarimetric characteristics of various crop types have been studied by a number of authors [1,2,3]. According to them these features depend on numerous properties of the reflecting surface element (e.g., surface reflectivity, water content, and roughness) on the geometric structure of plants. This paper presents how damage may modify a plant’s response to polarimetric radar beam. The objective is to determine whether optical and SAR time series can detect damage-induced spatial and temporal changes in crop structure. The most efficient way of identification of this damage can be to coevaluate optical and polarimetric radar satellite images. Previous results of our survey on this subject have already been presented on several publications [8,9,10]
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