Zobrazeno 1 - 9
of 9
pro vyhledávání: '"José Luis Gallardo-Salazar"'
Autor:
José Luis Gallardo-Salazar, Cuauhtémoc Sáenz-Romero, Roberto Lindig-Cisneros, Leonel López-Toledo, José A. Blanco-García, Ángel R. Endara-Agramont
Publikováno v:
Cuadernos de Investigación Geográfica, Vol 49, Iss 1 (2023)
Climate change is predicted to lead to increasingly intense and hotter droughts, causing physiological weakness followed by forest decline in many regions of the world. Long- and short-range remote sensing (satellites and unmanned aerial vehicles, co
Externí odkaz:
https://doaj.org/article/fe0540bd39a7416ea4c708f31bebdc25
Autor:
Marcela Rosas-Chavoya, José Luis Gallardo-Salazar, Pablito Marcelo López-Serrano, Pedro Camilo Alcántara-Concepción, Ana Karen León-Miranda
Publikováno v:
Cuadernos de Investigación Geográfica, Vol 48, Iss 1 (2022)
QGIS is the most popular free geospatial software in the world. QGIS belongs to the Open-Source Geospatial Foundation (OSGeo). Among the main strengths of this Geographic Information Systems are: the incorporation of tools via plugins, and a communit
Externí odkaz:
https://doaj.org/article/17f9560a9b5d45e89035241192be5090
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4144 (2020)
Modern forestry poses new challenges that space technologies can solve thanks to the advent of unmanned aerial vehicles (UAVs). This study proposes a methodology to extract tree-level characteristics using UAVs in a spatially distributed area of pine
Externí odkaz:
https://doaj.org/article/4d87eb5cfaf4458c81e5fcb0499d4ef8
Autor:
Sáenz-Romero, José Luis Gallardo-Salazar, Roberto A. Lindig-Cisneros, Leonel Lopez-Toledo, Angel R. Endara-Agramont, Arnulfo Blanco-García, Cuauhtémoc
Publikováno v:
Forests; Volume 14; Issue 6; Pages: 1176
Future climate forecasts predict major changes that will have negative impacts on the distribution, abundance, and dynamics of forest ecosystems. In Mexico, there is evidence of symptoms of massive forest decline; however, there is no consensus in te
Publikováno v:
Trees. 35:1123-1134
Pinus leiophylla production of radially enlarging tracheids is bimodal with peaks in June and October. The production of thickening tracheids and NDVI were coupled. In drought-prone areas, xylem production and forest productivity are assumed to depen
Autor:
Carlos Arturo Aguirre-Salado, Daniela M. Carrillo-Aguilar, José Luis Gallardo-Salazar, Marín Pompa-García
Publikováno v:
Geocarto International. 37:4441-4453
Multispectral indices are useful to improve the knowledge of plant organic functionality. Geographically weighted regression (GWR), multispectral data from unmanned aerial vehicles (UAVs) and indiv...
Autor:
Félix J. C. Hinojosa-Espinoza, José Luis Gallardo-Salazar, Anulfo Meléndez-Soto, Susana I. Hinojosa-Espinoza
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Revista de Teledetección, Vol 0, Iss 58, Pp 89-103 (2021)
instname
Revista de Teledetección, Vol 0, Iss 58, Pp 89-103 (2021)
[EN] Unmanned Aerial Vehicles (UAVs) have given a new boost to remote sensing and image classification techniques due to the high level of detail among other factors. Object-based image analysis (OBIA) could improve classification accuracy unlike to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7332a3ad0e2674e69732816134ddedba
https://doi.org/10.4995/raet.2021.14782
https://doi.org/10.4995/raet.2021.14782
Autor:
Pablito M. López-Serrano, José Luis Gallardo-Salazar, Marín Pompa-García, Arnulfo Meléndez-Soto, Carlos Arturo Aguirre-Salado
Publikováno v:
Revista Mexicana de Ciencias Forestales. 11
La variabilidad climática plantea importantes retos que actualmente enfrentan los ecosistemas forestales. Para mejorar el entendimiento de sus procesos vitales es necesario contar con tecnologías de vanguardia, una de los cuales son los vehículos
Publikováno v:
Remote Sensing; Volume 12; Issue 24; Pages: 4144
Remote Sensing, Vol 12, Iss 4144, p 4144 (2020)
Remote Sensing, Vol 12, Iss 4144, p 4144 (2020)
Modern forestry poses new challenges that space technologies can solve thanks to the advent of unmanned aerial vehicles (UAVs). This study proposes a methodology to extract tree-level characteristics using UAVs in a spatially distributed area of pine