Knowledge Center Catalog

Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones (Record no. 68726)

MARC details
000 -LEADER
fixed length control field 03617nab|a22004937a|4500
001 - CONTROL NUMBER
control field 68726
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250602091003.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 20253s2025|||||-uk||p|op||||00||0|eng|dd
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2045-2322 (Online)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1038/s41598-025-92135-0
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Roy, D.
9 (RLIN) 22696
245 10 - TITLE STATEMENT
Title Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. United Kingdom :
Name of publisher, distributor, etc. Nature Publishing Group,
Date of publication, distribution, etc. 2025.
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. Land surface temperature (LST) is a critical parameter for land surface and atmospheric interactions. However, the applicability of current LST estimates for field-level hydrological, agricultural, and ecological operations is challenging due to their coarse spatiotemporal resolution. In the current article, we compared three different models, namely 1) Thermal Sharpening (TsHARP), 2) Thin Plate Spline (TPS), and 3) Random Forest (RF) for downscaling LST from 100 to 10 m by using high-resolution Sentinel-1,2 optical-microwave data. TsHARP, TPS, and RF are commonly used methods for improving the spatial resolution of large-scale environmental or climate data to finer scales for field-level applications. The analysis was performed at agricultural farms in the semi-arid, arid, and per-humid regions of India during the winter and summer seasons of 2020-21 and 2021-22. The calibration accuracy of the RF model was in better agreement with the coefficient of determination (R2), root mean square error (RMSE), and normalized RMSE (nRMSE) values ranging between 0.961-0.997, 0.103-0.439 K, and 0.034-0.143%, respectively, and lower values of standard errors for all three locations. Though the validation accuracy of models varied between the regions, RF and TPS consistently outperformed the TsHARP model. Further the impact of individual features on LST downscaling was analyzed using Accumulated Local Effects (ALE) plot. The study concluded that RF is an effective and adaptable strategy that can be used in various agroclimatic zones and land cover types, suggesting its broader applicability in agricultural and ecological operations. Finer resolution LST data with enhanced precision can support tailored field-level decision-making and interventions in agriculture and environmental monitoring.
546 ## - LANGUAGE NOTE
Language note Text in English
597 ## - CGIAR Initiative
CGIAR Initiative Fragility to Resilience in Central and West Asia and North Africa
Donor or Funder Indian Council of Agricultural Research (ICAR)
CGSpace handle https://hdl.handle.net/10568/174892
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Forecasting
Source of heading or term AGROVOC
9 (RLIN) 2701
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Farms
Source of heading or term AGROVOC
9 (RLIN) 2557
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Agroclimatic zones
Source of heading or term AGROVOC
9 (RLIN) 10574
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Das, B.
9 (RLIN) 16227
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Singh, P.
9 (RLIN) 38677
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Santra, P.
9 (RLIN) 32852
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Deb, S.
9 (RLIN) 32853
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bhattacharya, B.K.
9 (RLIN) 18422
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Govind, A.
9 (RLIN) 29835
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jatav, R.
9 (RLIN) 32854
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sethi, D.
9 (RLIN) 32855
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ghosh, T.
9 (RLIN) 32856
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mukherjee, J.
9 (RLIN) 29663
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sehgal, V.K.
9 (RLIN) 15453
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Prakash Kumar Jha
9 (RLIN) 38678
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Goroshi, S.
9 (RLIN) 15454
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Prasad, P.V.V.
9 (RLIN) 3887
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chakraborty, D.
Field link and sequence number 001713944
Miscellaneous information Sustainable Agrifood Systems
9 (RLIN) 4063
773 0# - HOST ITEM ENTRY
Title Scientific Reports
Related parts v. 15, no. 1, art. 10824
Place, publisher, and date of publication United Kingdom : Nature Publishing Group, 2025.
International Standard Serial Number 2045-2322
Record control number 58025
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/35623
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Suppress in OPAC No
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Date last seen Total Checkouts Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
04/08/2025   04/08/2025 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 04/08/2025

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