Understanding the Backscattering from Sentinel-1 Over a Growing Season of Corn in Central Mexico Using the Thexmex Datasets
| Autor: | Carlos Rodolfo Sanchez-Villanueva, Cira Francisca Zambrano-Gallardo, Enrique Zempoaltecatl-Ramirez, Ramon Sidonio Aparicio-Garcia, Hector Ernesto Huerta-Batizv, Aura Citlalli Torres-Gomez, Leonardo Arizmendi-Vasconcelos, Ivan Edmundo de la Rosa-Montero, V. M. Sauce-Rangel, Jasmeet Judge, Roberto Ivan Villalobos-Martinez, Alejandro Monsivais-Huertero, Jose Carlos Jimenez-Escalona, Daniel Enrique Constantino-Recillas, Juan Carlos Hernandez-Sanchez, Eduardo Arizmendi-Vasconcelos |
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| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
business.industry 0211 other engineering and technologies Biodiversity Growing season 02 engineering and technology Vegetation 01 natural sciences Natural resource Field (geography) Remote sensing (archaeology) Agriculture Environmental science Satellite business 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss39084.2020.9323299 |
| Popis: | The proper management of resources allows better yields from crops. Within the field of remote sensing, one of the sectors benefited is the agricultural sector because changes in biodiversity can be quantified through the observation and temporary evaluation of satellite images. For example, different studies have shown the potential of using information from the ESA Sentinel-1 satellite to monitor the growing crops. The backscatter observations obtained from Sentinel 1A and Sentinel 1B satellites showed greater sensitivity to the change in vegetation according to the correlation study, it is shown that the correlation between vegetation parameters and Sentinel-1 observations is greater than 0.8. The application of this methodology allows the understanding of the temporal variability over corn fields in the central zone of Mexico and allows seeing the potential of the Sentinel-1 constellation for the monitoring of natural resources. The application of this methodology allows the understanding of the temporal variability over corn fields in the central zone of Mexico and allows seeing the potential of the Sentinel-1 constellation for the monitoring of natural resources. |
| Databáze: | OpenAIRE |
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