Detection of Aguadas (Ponds) Through Remote Sensing in the Bajo El Laberinto Region, Calakmul, Campeche, Mexico
Guardado en:
| Publicado en: | Remote Sensing vol. 17, no. 19 (2025), p. 3299-3333 |
|---|---|
| Autor principal: | |
| Otros Autores: | , , , , , |
| Publicado: |
MDPI AG
|
| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Resumen: | <sec sec-type="highlights"> What are the main findings? <list list-type="bullet"> <list-item> </list-item>Lidar-derived Digital Elevation Models and Infrared high-definition imagery from satellites constitute the most efficient tools for identifying aguadas (ponds) in regions covered by dense forest. <list-item> Three hundred fifty aguadas were identified in the Calakmul Biosphere Reserve. </list-item> What is the implication of the main finding? <list list-type="bullet"> <list-item> </list-item>Lidar-derived Digital Elevation Model and Infrared high-definition satellite images and supplementary sources can be combined to enhance the identification of minor water bodies in densely wooded regions. <list-item> Ponds in the Calakmul Biosphere Reserve exceed the number that has previously documented, and their identification is highly relevant for conservation and archeological studies. </list-item> This study explores the detection and classification of aguadas (ponds) in the Bajo El Laberinto region, in the Calakmul Biosphere Reserve, Campeche, Mexico, using remote sensing techniques. Lidar-derived digital elevation models (DEMs), orthophotos and satellite imagery from multiple sources were employed to identify and characterize these water reservoirs, which played a crucial role in ancient Maya water management and continued to be vital for contemporary wildlife. By comparing different visualization techniques and imagery sources, the study demonstrates that while lidar data provides superior topographic detail, satellite imagery—particularly with nominal 3 m, or finer, spatial resolution with a near-infrared band—offers valuable complementary data including present-day hydrological and vegetative characteristics. In this study, 350 aguadas were identified in the broader region. The shapes, canopy cover, and topographic positions of these aguadas were documented, and the anthropogenic origin of most features was emphasized. The paper’s conclusion states that combining various remote sensing datasets enhances the identification and understanding of aguadas, providing insights into ancient Mayan adaptive strategies and contributing to ongoing archaeological and ecological research. |
|---|---|
| ISSN: | 2072-4292 |
| DOI: | 10.3390/rs17193299 |
| Fuente: | Advanced Technologies & Aerospace Database |