Abstract: Deep learning has made significant contributions for agriculture and environmental monitoring. However, it is often viewed as “unexplainable black box”, which limits its adoption and trust.

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...

ABSTRACT: This research aims to explore changes in Land Use and Land Cover (LULC) and how LULC have an influence on the Land Surface Temperature (LST) in Rupandehi district. Multiple Landsat imagery ...

The South Carolina High School League will stay at five classifications but won’t split its top class during its next realignment. The league’s executive committee voted 13-4 Thursday to have five ...

The spatial distribution of selected International Soil Moisture Network (ISMN) stations (red-filled circles) used in this study across different Land Use and Land Cover(LULC) classifications. The ...

A Google Earth Engine Land use (crops) classification workflow using Random Forest, one year of ground data, Sentinel-2, and Landsats; to produce multiyear annual 30-m crop maps This project focuses ...

The MAIS has released its new classifications, districts and divisions that will take affect beginning in the 2025-26 school year. MAIS will be divided into four classes, ranging from Class 1A to 4A ...

Abstract: Land use land cover (LULC) classification using satellite images is crucial for land-use inventories and environment modeling. The LULC classification is a difficult task because of the high ...

The North Carolina High School Athletic Association (NCHSAA) on Wednesday released the first draft of conferences for its 2025-29 realignment. It will be a much different set-up starting with the fact ...

Callum is a seasoned gaming managing editor for a number of publications and a gamer who will always try to shine a spotlight on indie games before giving AAA titles the time of day. He loves nothing ...