Cambio de uso del suelo en la cuenca del río Sabinal, Chiapas, México/Land-use change in the Sabinal river watershed, Chiapas, Mexico

Autor: Mercedes Concepción Gordillo-Ruiz, Miguel Angel Castillo-Santiago

Publikováno v: Ecosistemas y Recursos Agropecuarios, Vol 4, Iss 10, Pp 39-49 (2017)

. Con el propósito de conocer que los factores promueven el cambio en la cobertura del suelo en la cuenca del río Sabinal, Chiapas, este trabajo analiza la relación entre mapas de cambio en la cobertura del suelo y estadísticas socioeconómicas

Externí odkaz: https://doaj.org/article/9b36d8af3837446e8304f2c4c1fc8f95

Comment on Gebhardt et al. MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data. Remote Sens. 2014, 6, 3923–3943

Autor: Jean-François Mas, Stéphane Couturier, Jaime Paneque-Gálvez, Margaret Skutsch, Azucena Pérez-Vega, Miguel Angel Castillo-Santiago, Gerardo Bocco

Publikováno v: Remote Sensing, Vol 8, Iss 7, p 533 (2016)

Gebhardt et al. (2014) presented the Monitoring Activity Data for the Mexican REDD+ program (MAD-MEX), an automatic nation-wide land cover monitoring system for the Mexican REDD+ MRV. Though MAD-MEX represents a valuable first effort toward establish

Externí odkaz: https://doaj.org/article/33517dca6b484771abe8c7d3759b7dc7

Using satellite estimates of aboveground biomass to assess carbon stocks in a mixed-management, semi-deciduous tropical forest in the Yucatan Peninsula

Autor: David T. Milodowski, Juan Manuel Dupuy, Miguel Angel Castillo-Santiago, Mathew Williams, Stephanie P. George-Chacón, Jean-François Mas, José Luis Hernández-Stefanoni

Publikováno v: George-Chacón, S P, Milodowski, D, Dupuy, J M, Max, J-F, Williams, M, Castillo-Santiago, M & Hernández-Stefanoni, J L 2021, ' Using satellite estimates of aboveground biomass to assess carbon stocks in a mixed-management, semi-deciduous tropical forest in the Yucatan Peninsula ', Geocarto International . https://doi.org/10.1080/10106049.2021.1980619

Information on the spatial distribution of forest aboveground biomass (AGB) and its uncertainty is important to evaluate management and conservation policies in tropical forests. However, the scarcity of field data and robust protocols to propagate u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d97c9abf9a0ea533228d93a84434666e
https://doi.org/10.1080/10106049.2021.1980619

Near Real-Time Change Detection System Using Sentinel-2 and Machine Learning: A Test for Mexican and Colombian Forests

Autor: Ana María Pacheco-Pascagaza, Yaqing Gou, Valentin Louis, John F. Roberts, Pedro Rodríguez-Veiga, Polyanna da Conceição Bispo, Fernando D. B. Espírito-Santo, Ciaran Robb, Caroline Upton, Gustavo Galindo, Edersson Cabrera, Indira Paola Pachón Cendales, Miguel Angel Castillo Santiago, Oswaldo Carrillo Negrete, Carmen Meneses, Marco Iñiguez, Heiko Balzter

Publikováno v: Remote Sensing
Volume 14
Issue 3
Pages: 707
Remote Sensing, 14(3)
Pascagaza, A M P, Gou, Y, Louis, V, Roberts, J F, Rodriguez-Veiga, P, Bispo, P D C, Espírito-Santo, F, Robb, C, Upton, C, Galindo, G, Cabrera, E, Cendales, I P P, Santiago, M A C, Negrete, O C, Meneses, C, Iñiguez, M & Balzter, H 2022, ' Near Real-Time Change Detection System Using Sentinel-2 and Machine Learning: A Test for Mexican and Colombian Forests ', Remote Sensing, vol. 14, no. 3, 707 . https://doi.org/10.3390/rs14030707
Remote Sensing, Vol 14, Iss 707, p 707 (2022)
Remote Sensing 14 (2022) 3

The commitment by over 100 governments covering over 90% of the world’s forests at the COP26 in Glasgow to end deforestation by 2030 requires more effective forest monitoring systems. The near real-time (NRT) change detection of forest cover loss e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee8420cc05d2049f2742ad38e488a476

Cambios en la cobertura y uso del suelo en la región del Soconusco, Chiapas

Autor: Rosa Elena Escobar Flores, Miguel Angel Castillo Santiago

Publikováno v: Revista Mexicana de Ciencias Forestales, Vol 12, Iss 66 (2021)

El Soconusco se caracteriza por ser una de las regiones agrícolas más productivas del estado de Chiapas, en la que aún se conservan zonas de alta biodiversidad amenazadas por el cambio de uso del suelo. El objetivo de este trabajo fue analizar las

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e87ce5bbced53622fdcd2f2b7c4fc3d8
https://cienciasforestales.inifap.gob.mx/editorial/index.php/forestales/article/view/755