Multi-influencing factor (MIF) and RS–GIS-based determination of agriculture site suitability for achieving sustainable development of Sub-Himalayan region, India
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s10668-022-02360-0.pdf
Reference113 articles.
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2. Abdullah, S. A., & Hezri, A. A. (2008). From forest landscape to agricultural landscape in the developing tropical country of Malaysia: Pattern, process, and their significance on policy. Environmental Management, 42(5), 907–917. https://doi.org/10.1007/s00267-008-9178-3
3. Aguiar, A. P. D., Câmara, G., & Escada, M. I. S. (2007). Spatial statistical analysis of land-use determinants in the Brazilian Amazonia: Exploring intra-regional heterogeneity. Ecological Modelling, 209(2–4), 169–188. https://doi.org/10.1016/j.ecolmodel.2007.06.019
4. Ahmad, F., Goparaju, L., & Qayum, A. (2019). FAO guidelines and geospatial application for agroforestry suitability mapping: Case study of Ranchi. Jharkhand State of India. Agroforestry Systems, 93(2), 531–544.
5. Akıncı, H., Özalp, A. Y., & Turgut, B. (2013). Agricultural land use suitability analysis using GIS and AHP technique. Computers and Electronics in Agriculture, 97, 71–82. https://doi.org/10.1016/j.compag.2013.07.006
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