# Remote Sensing in Agriculture

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/remote-sensing-in-agriculture-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 2,027,708 |
| Description | This cluster of papers focuses on the use of remote sensing technology, particularly MODIS and Landsat data, for monitoring vegetation dynamics, phenology, and biomass estimation in response to global change and climate variability. The papers also explore the application of machine learning techniques for land cover classification and the assessment of ecological responses to environmental change. |
| Domain | Physical Sciences |
| Field | Environmental Science |
| OpenAlex ID | https://openalex.org/T10111 |
| Works | 135,303 |

## Topic researchers

Showing 12 of 20.

- [Simon I Hay](https://scholariq.org/researchers/simon-i-hay/)
- [Philippe Ciais](https://scholariq.org/researchers/philippe-ciais/)
- [David Tilman](https://scholariq.org/researchers/david-tilman/)
- [Paul M. Thompson](https://scholariq.org/researchers/paul-m-thompson/)
- [Peter B. Reich](https://scholariq.org/researchers/peter-b-reich/)
- [Peter W. Gething](https://scholariq.org/researchers/peter-w-gething/)
- [Pamela S. Soltis](https://scholariq.org/researchers/pamela-s-soltis/)
- [Josep Peñuelas](https://scholariq.org/researchers/josep-penuelas/)
- [David L. Donoho](https://scholariq.org/researchers/david-l-donoho/)
- [David J. Schlegel](https://scholariq.org/researchers/david-j-schlegel/)
- [David H. Weinberg](https://scholariq.org/researchers/david-h-weinberg/)
- [James E. Gunn](https://scholariq.org/researchers/james-e-gunn/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.