Dynamic changes of wetland resources based on MODIS and Landsat image data fusion
نویسندگان
چکیده
منابع مشابه
A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion
a r t i c l e i n f o The focus of the current study is to compare data fusion methods applied to sensors with medium-and high-spatial resolutions. Two documented methods are applied, the spatial and temporal adaptive reflectance fusion model (STARFM) and an unmixing-based method which proposes a Bayesian formulation to incorporate prior spectral information. Furthermore, the strengths of both ...
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Multiple cropping, a common practice of intensive agriculture that grows crops multiple times in the agricultural land in one growing season, is an effective way to fulfill the food demand given limited cropland areas. Deriving cropping cycles from satellite data provides the spatial distribution of cropping intensities that allows for monitoring of the multiple cropping activities over large a...
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BACKGROUND To improve estimates of net primary production for terrestrial ecosystems of the continental United States, we evaluated a new image fusion technique to incorporate high resolution Landsat land cover data into a modified version of the CASA ecosystem model. The proportion of each Landsat land cover type within each 0.004 degree resolution CASA pixel was used to influence the ecosyste...
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The part of central west coast (Maharashtra and Goa) of India has been classified and quantified for coastal wetlands using LANDSAT data of 1985-86. The classification accuracy of the maps and area estimates achieved was 84% at 90% confidence level and the planimetric accuracy at 1:2.50.000 scale was 0.3 mm. The total coastal wetland areas in Maharashtra and Goa. have been estimated to be 1567 ...
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ژورنال
عنوان ژورنال: EURASIP Journal on Image and Video Processing
سال: 2018
ISSN: 1687-5281
DOI: 10.1186/s13640-018-0305-7