Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

Existen numerosos mapas de la vegetación espontánea de la Argentina. Sin embargo, no
contamos aún con uno de todo el país con una resolución que permita distinguir unidades …

The monitoring of burned areas can easily be performed using satellite multispectral
images: several indices are available in the literature for highlighting the differences …

Map** of patterns and spatial distribution of land-use/cover (LULC) has long been based
on remotely sensed data. In the recent past, efforts to improve the reliability of LULC maps …

Over the last few decades, dramatic land-use changes have occurred throughout Israel.
Previously-grazed areas have been afforested, converted to irrigated or rain-fed agriculture …

Convolutional neural network (CNN)-based deep learning (DL) has a wide variety of
applications in the geospatial and remote sensing (RS) sciences, and consequently has …

Question What are the composition and spatial patterns of native woody plant communities
in the southern Great Chaco and Espinal? Location Córdoba Province, central Argentina, an …

Reliable crop type maps from satellite data are an essential prerequisite for quantifying crop
growth, health, and yields. However, such maps do not exist for most parts of Africa, where …

Im Labyrinth der Daten. Ilona Leyer und Karsten Wesche führen in diesem Lehrbuch in die
multivariaten Verfahren in der Ökologie ein. Das Lehrbuch wendet sich an all jene, die in …