News
Hosted on MSN2mon
Machine learning techniques reveal a high-precision land cover map for Siberia, enhancing climatic predictionsThe newly developed map gave a clearer picture of the forests ... More information: Munseon Beak et al, Land cover classification for Siberia leveraging diverse global land cover datasets ...
Classifying land cover is essential to predict future ... various data points to ensure an accurate land classification. The newly developed map gave a clearer picture of the forests, wetlands ...
The MSLCC dataset has been created for multi-sensor land-cover classification, and has been used and published in [1]. It includes multispectral and SAR images acquired by Sentinel-1B and Sentinel-2A ...
Pasture and rangeland would cover most of the Western U.S., and ... And another USDA land classification—miscellaneous—includes cemeteries, golf courses, marshes, deserts and other areas ...
The land-use, land-cover map of Uttarakhand prepared by Uttarakhand Space Application Centre (USAC) with the assistance of the National Remote Sensing Centre (NRSC) Hyderabad was released by ...
Save Soil's map, based on Intergovernmental Panel on Biodiversity and Ecosystem Services (IPBES) data, shows 95 per cent of the Earth's land could be degraded by 2050. Save Soil's map, based on ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results