While several studies examined land use and land cover changes in the central and western
parts of Saudi Arabia, this study is the first to use remote sensing data to examine the …

In this study, we used the spectral information divergence (SID) and spectral angle mapper
(SAM) algorithm classification to identify~ 40,000 individual trees from 19 mangrove species; …

With rapid economic development in China, crops have undergone remarkable changes in
both their type and spatial pattern. Timely and accurate information of crop type distribution …

Upscaling in situ leaf area index (LAI) measurements to the footprint scale is important for
the validation of medium resolution remote sensing products. However, surface …

The primary goal of thematic accuracy assessment is to measure the quality of land cover
products and it has become an essential component in global or regional land cover …

Due to the spectral and spatial properties of pervious and impervious surfaces, image
classification and information extraction in detailed, small-scale mapping of urban surface …

Remote-sensing images of high spatial resolution (HSR) are valuable sources of fine-
grained spatial information for various applications, such as urban surveys and governance …

Brazil faces the challenge of conciliating food production with natural vegetation
preservation, and the government has been investing in Earth Observation satellites to …

Our goal is to compare the performance of Classification and Regression Tree, Naive Bayes
and Random Forest algorithms, from supervised image classification, and approaches on …

Pixels, blocks (ie, grouping of pixels), and polygons are the fundamental choices for use as
assessment units for validating per-pixel image classification. Previous research conducted …