Classification

Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery
Reliable crop type maps from satellite data are an essential prerequisite for quantifying crop growth, health, and yields. However, …
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Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians
Information about forest stand species distribution is essential for biodiversity modelling, forest disturbances, fire hazard and …
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Mapping Rubber Plantations and Natural Forests in Xishuangbanna (Southwest China) Using Multi-Spectral Phenological Metrics from MODIS Time Series
We developed and evaluated a new approach for mapping rubber plantations and natural forests in one of Southeast Asia’s biodiversity …
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imageRF – A user-oriented implementation for remote sensing image analysis with Random Forests
An IDL implementation for the classification and regression analysis of remote sensing images with Random Forests is introduced. The …
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Retrospective studies of grazing-induced land degradation: a case study in central Crete, Greece
Although it is well known that livestock husbandry has become more prevalent in Crete, Greece, during the last two decades, it is not …
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