1968. Land Classification Maps of Areas Basic to Agricultural Production. Norsk geogr. Tidsskr. 22, 264–270. In Norway, a detailed land survey, based on photogrammetry, is now proceeding for land classification maps of the scale 1:5,000 (for certain minor areas 1:10,000) covering ...
, and the obtained kappa coefficients were 0.95, 0.94, and 0.96 for 2000, 2010, and 2018, respectively. The classification maps of 2000, 2010, and 2018 are shown inFig. 3. So, we used these land use maps to predict the land use changes and produce the land-use change scenarios maps....
A natural progression of this work is to build land use andland covermaps based on our classification that could be used in GBESMs. Data to map the composite indicator for intensity can be obtained from existing publications, such as (Maggi et al., 2019) for pesticide use, (Potter et al...
TheLand Cover Classification (Sentinel 2)deep learning model is developed to classify land cover. While it's designed to work in Europe, the model is seen to perform fairly well in other parts of the world like USA and India. The resultant land cover can be used for a variety of purposes...
Delineation and Classification of Wetlands in the Northern Jarrah Forest, Western Australia Using Remote Sensing and Machine Learning Article Open access 01 May 2024 Delineation and Monitoring of Wetlands Using Time Series Earth Observation Data and Machine Learning Algorithm: A Case Study in Upper ...
2). Produced from the UK Met Office Agricultural Land Classification dataset54 following digitisation. Full size image Conclusion The examples given above demonstrate the intricate nature of the challenges associated with grass-to-arable conversion, of which few are being methodically considered as part...
A GIS/Spatial Statistical Predictive Model of Land Use Change in a Developing Country Context Using a Tree Classification Approach. Canada: 4th International Conference on Integrating GIS and Environmental Modeling (GIS/EM4). http://www.colorado.edu/research/cires/banff/pubpapers/52 Fischer G, Sun...
Landsat 5/8 Level 2, Collection 2, Tier 1 dataset and the Random Forest (RF) algorithm model are employed for land classification. The quality of categorization is assessed through Kappa values, which are all greater than 0.90. This study incorporates 18 LLPs such as total area (TA), ...
Torrieri and Radcliffe identified seven general classes into which they believe most applied geography falls: (1) market/location analysis; (2) medical geography; (3) settlement classification and statistical geographic areas; (4) land use, environmental issues, and policy; (5) transportation planning...
http://www.landcareresearch.co.nz/resources/maps-satellites/threatened-environment-classification, accessed 13August 2012 Larsson TB (ed) (2001) Biodiversity evaluation tools for European forests. Ecological Bulletins 50. Blackwell Science, Oxford Google Scholar Lawton JH, Bignell DE, Bolton B, ...