Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review
Ludwig-Maximilians-Universität München · Parc Científic de la Universitat de València · +27 more institutions
Abstract
Remote detection and monitoring of the vegetation responses to stress became relevant for sustainable agriculture. Ongoing developments in optical remote sensing technologies have provided tools to increase our understanding of stress-related physiological processes. Therefore, this study aimed to provide an overview of the main spectral technologies and retrieval approaches for detecting crop stress in agriculture. Firstly, we present integrated views on: i) biotic and abiotic stress factors, the phases of stress, and respective plant responses, and ii) the affected traits, appropriate spectral domains and corresponding methods for measuring traits remotely. Secondly, representative results of a systematic…
Citation impact
- FWCI
- 36.09
- Percentile
- 100%
- References
- 251
Authors
38- KBKatja BergerCorresponding
Ludwig-Maximilians-Universität München, Parc Científic de la Universitat de València
- MMMiriam Machwitz
Luxembourg Institute of Science and Technology
- MKMarlena Kycko
University of Warsaw
- SCShawn C. Kefauver
Universitat de Barcelona
- SVShari Van Wittenberghe
Parc Científic de la Universitat de València
Topics & keywords
- Remote sensing
- Environmental science
- Radiance
- Computer science
- Geography
- Zero hunger