ECOSat (Estimation of carbon offsets with satellites) - Final report

Urs Schulthess, Simon Fonteyne and Andrea Gardeazabal Monsalve

CGIAR Initative Publications from International Food Policy Research Institute (IFPRI)

Abstract: This study aimed to assess whether radar (Sentinel-1) and optical (Sentinel-2) satellite data could detect residue management practices and differentiate between conventional, minimal, and no tillage fields in Guanajuato, Mexico. The study used in-situ data collected by the CIMMYT-led MasAgro Guanajuato project, which tracks land preparation and crop management. Various tillage and residue indices were tested, including NDSVI, NDTI, and NDI5, based on Sentinel-2 bands. The conclusion suggests that most successful remote sensing applications for tillage detection and residue management rely on survey data. These data can then be used to train machine learning based algorithms.

Keywords: remote sensing; crop residue management; conservation agriculture; tillage; Mexico; Latin America (search for similar items in EconPapers)
Date: 2024-12
References: Add references at CitEc
Citations:

Downloads: (external link)
https://hdl.handle.net/10568/173025

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:fpr:cgiarp:173025

Access Statistics for this paper

More papers in CGIAR Initative Publications from International Food Policy Research Institute (IFPRI) Contact information at EDIRC.
Bibliographic data for series maintained by ().