Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Jean-François Mas"'
Publikováno v:
Investigaciones Geográficas, Iss 113 (2024)
El modelaje espacial de la precipitación es fundamental para entender la distribución de la vegetación silvestre, el crecimiento de las plantas y las consecuencias del cambio climático. Aquí comparamos, para el territorio continental de México,
Externí odkaz:
https://doaj.org/article/127561f4c2bf4bc99a8e4755048d68ff
Autor:
FERNANDA KELLY G. DA SILVA, FERNANDO ROBERTO MARTINS, ADUNIAS DOS SANTOS TEIXEIRA, JEAN-FRANÇOIS MAS, BRUNO S. DE MENEZES, FLAVIO JORGE PONZONI, FRANCISCA S. DE ARAÚJO
Publikováno v:
Anais da Academia Brasileira de Ciências, Vol 95, Iss 3 (2023)
Abstract Plant community succession is generally approached with phytosociological methods, but field surveys are time-consuming, expensive, and limited to several of sites. Remote sensing offers an efficient and economical way to analyze vegetation
Externí odkaz:
https://doaj.org/article/3ed8586815e7441ba47ffe3df40d6439
Autor:
Jean-François Mas
Publikováno v:
Revista Cartográfica, Iss 106 (2022)
Externí odkaz:
https://doaj.org/article/6969cdccc6da4ffa86f6523c3645ff3c
Autor:
Jean-François Mas, Azucena Pérez-Vega
Publikováno v:
PeerJ, Vol 9, p e12685 (2021)
In recent history, Coronavirus Disease 2019 (COVID-19) is one of the worst infectious disease outbreaks affecting humanity. The World Health Organization has defined the outbreak of COVID-19 as a pandemic, and the massive growth of the number of infe
Externí odkaz:
https://doaj.org/article/4d07ffd32c8b41c5b8945be3a7f23da1
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 1, Pp 532-541 (2019)
In recent years, plasticulture, which is broadly defined as the use of plastics in agriculture, including greenhouse, tunnels and plastic mulch has become a fast-growing production system. While in the 1970s, the system was used on 2.8 M ha worldwide
Externí odkaz:
https://doaj.org/article/dc5a8c92d8ff4b469605328ad2491bc9
Autor:
Jean-François Mas
Publikováno v:
Data in Brief, Vol 35, Iss , Pp 106843- (2021)
Our understanding of how COVID-19 spreads over a territory needs to be improved. For example, the evaluation of disease spatiotemporal distribution and its association with other characteristics can help identify covariates, model the behavior of the
Externí odkaz:
https://doaj.org/article/578d816686f04a049cc664a7c5a05aec
Autor:
Jean-François Mas
Publikováno v:
PeerJ, Vol 9, p e10622 (2021)
In this stage 1 registered report, we propose an analysis of the spatio-temporal patterns of the COVID-19 epidemic in Mexico using the georeferenced confirmed cases aggregated at the municipality level. We will compute weekly Moran index to assess sp
Externí odkaz:
https://doaj.org/article/f11a7761eff147ab9f2dfb42bbeb0e56
Publikováno v:
Global Ecology and Conservation, Vol 24, Iss , Pp e01297- (2020)
Protected areas (PAs) are one of the main strategies to preserve tropical biodiversity. However, their viability is compromised by the impacts of a variety of threats. To gain a more integrated view of how different threats affect them, individually
Externí odkaz:
https://doaj.org/article/7fcccb093607418f9e90cb85090ea627
Publikováno v:
Revista Cartográfica, Iss 100 (2020)
Factores socioculturales y ambientales afectan el contacto en el paisaje entre triatominos infectados con Trypanosoma cruzi y la población humana, etiología de la enfermedad de Chagas. En este trabajo se analizan los efectos de la estructura del pa
Externí odkaz:
https://doaj.org/article/feb9930c76b84955a5294b7439823951
Autor:
Jean-François Mas, Richard Lemoine-Rodríguez, Rafael González-López, Jairo López-Sánchez, Andrés Piña-Garduño, Evelyn Herrera-Flores
Publikováno v:
European Journal of Remote Sensing, Vol 50, Iss 1, Pp 626-635 (2017)
This article presents a hybrid classification method combining image segmentation, GIS analysis, and visual interpretation, and its application to elaborate a multi-date cartographic database with 23 land use/cover (LUC) classes using SPOT 5 imagery
Externí odkaz:
https://doaj.org/article/93d65a3bdefb4f309d75682e7f699ba1