PMID- 38316645
OWN - NLM
STAT- MEDLINE
DCOM- 20240207
LR  - 20240312
IS  - 1573-2959 (Electronic)
IS  - 0167-6369 (Linking)
VI  - 196
IP  - 3
DP  - 2024 Feb 5
TI  - Land capability assessment of Sali watershed for agricultural suitability using a 
      multi-criteria-based decision-making approach.
PG  - 237
LID - 10.1007/s10661-024-12393-9 [doi]
AB  - The assessment of land's agricultural potential, through a land capability 
      evaluation, delves into its innate limitations, crop suitability, and responses 
      to soil management. In regions where agriculture reigns supreme, socio-economic 
      development is inexorably linked to the agricultural sector, making the optimal 
      utilization of land resources an imperative pursuit. The pursuit of this 
      objective is underpinned by the selection of new agricultural areas and the 
      determination of which crops thrive in specific locations, for which the 
      multi-criteria decision-making (MCDM) method emerges as an ideal choice. This 
      comprehensive research endeavour revolves around the intricate interplay of 
      climatic, edaphic, fertility, topographical, and socioeconomic determinants. 
      Within this intricate web, a total of 15 determinants play a pivotal role, 
      including precipitation, potential evapotranspiration (PET), soil texture, 
      drainage, soil organic-carbon, nitrogen content, pH, clay content, river 
      proximity, land use/land cover (LULC), slope, temperature, social suitability, 
      irrigation density, and elevation. To weigh these determinants, the Analytical 
      Hierarchy Process (AHP) comes into play, ultimately revealing that the dominant 
      influences on land capability stem from the realms of climate and soil. The 
      watershed's terrain analysis revealed a distinct suitability contrast: 168 km(2) 
      highly suitable, 181.3 km(2) moderate, and 429 km2 low. The eastern and 
      northeastern sectors were notably promising. Rigorous validation, using the ROC 
      curve, confirmed the reliability and precision. The process yielded an impressive 
      83.2% AUC, unequivocally confirming the assessment's remarkable accuracy and 
      dependability.
CI  - (c) 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
FAU - Dutta, Arkadeep
AU  - Dutta A
AUID- ORCID: 0000-0002-7299-5145
AD  - Department of Earth Sciences and Remote Sensing, JIS University, Kolkata, 700109, 
      West Bengal, India. me.addutta@gmail.com.
FAU - Banerjee, Manua
AU  - Banerjee M
AD  - Department of Earth Sciences and Remote Sensing, JIS University, Kolkata, 700109, 
      West Bengal, India.
FAU - Ray, Ratnadeep
AU  - Ray R
AD  - Department of Earth Sciences and Remote Sensing, JIS University, Kolkata, 700109, 
      West Bengal, India.
LA  - eng
PT  - Journal Article
DEP - 20240205
PL  - Netherlands
TA  - Environ Monit Assess
JT  - Environmental monitoring and assessment
JID - 8508350
RN  - 0 (Soil)
RN  - T1FAD4SS2M (Clay)
SB  - IM
MH  - Reproducibility of Results
MH  - *Environmental Monitoring
MH  - *Agriculture
MH  - Soil
MH  - Clay
OTO - NOTNLM
OT  - AHP technique
OT  - Agricultural potentiality
OT  - Crop suitability
OT  - GIS and remote sensing
OT  - MCDM approach
EDAT- 2024/02/06 00:42
MHDA- 2024/02/07 06:43
CRDT- 2024/02/05 23:13
PHST- 2023/09/12 00:00 [received]
PHST- 2024/01/25 00:00 [accepted]
PHST- 2024/02/07 06:43 [medline]
PHST- 2024/02/06 00:42 [pubmed]
PHST- 2024/02/05 23:13 [entrez]
AID - 10.1007/s10661-024-12393-9 [pii]
AID - 10.1007/s10661-024-12393-9 [doi]
PST - epublish
SO  - Environ Monit Assess. 2024 Feb 5;196(3):237. doi: 10.1007/s10661-024-12393-9.