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EXPLORING CAPABILITIES OF SENTINEL-2 FOR VEGETATION MAPPING USING RANDOM FOREST
Vegetation mapping Sentinel-2 Landsat-8 OLI Random Forest Maximum Likelihood Classifier
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2018/5/15
Accurate vegetation mapping is essential for monitoring crop and sustainable agricultural practice. This study aims to explore the capabilities of Sentinel-2 data over Landsat-8 Operational Land Image...
URBAN VEGETATION MAPPING BASED ON THE HJ-1 NDVI RECONSTRCTION
HJ-1 NDVI Urban vegetation mapping Nanjing city Filtering algorithm
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2016/12/1
HJ-1A/B NDVI (HJ NDVI) time-series data possess relatively high spatio-temporal resolution which is significant for the research on urban areas. However, its application is hindered by noise resulting...
A NEW METHOD OF VEGETATION MAPPING BY OBJECT-BASED CLASSIFICATION USING HIGH RESOLUTION SATELLITE DATA
Vegetation mapping High resolution IKONOS Segmentation Object Pixel Classification
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2015/8/19
Continuous monitoring and updating of distribution maps is essential for conservation and management of plant communities,especially in regions where change and development are rapid. Traditional meth...
OPTIMAL RESOLUTION FOR LARGE-SCALE VEGETATION MAPPING USING AIRBORNE MULTISPECTRAL DATA
High-resolution Multispectral Data Vegetation Mapping Large-Scale
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2015/3/11
There is an increasing interest in the use of high-resolution multispectral data (acquired by small format digital air-borne imaging sensors) for large-scale vegetation mapping. Recent studies have fo...
VEGETATION MAPPING OF A PART OF DRY TROPICAL RAINFOREST OF SOUTHERN NIGERIA FROM LANDSAT TM
Classification Ecosystems Forestry Land Use/Land Cover Mapping
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2015/2/4
Vegetation in Nigeria, whether on topographical sheets or thematic maps, has generally been mapped from
aerial photographs. But aerial photographs are not generally available beyond the 70s in most p...