Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jessica Esteban"'
Autor:
Raquel Bados, Luis Saúl Esteban, Jessica Esteban, Alfredo Fernández-Landa, Tomás Sánchez, Eduardo Tolosana
Publikováno v:
Forest Systems, Vol 30, Iss 3 (2021)
Aims of the study: To construct biomass weight equations for rockrose (Cistus laurifolius L.) shrublands in North-central Spain comparing different methodologies and evaluating the applicability of the current Spanish open PNOA-LiDAR data. Area of
Externí odkaz:
https://doaj.org/article/ad79026907044eb5bb5b94dae1871243
Publikováno v:
Remote Sensing, Vol 13, Iss 18, p 3611 (2021)
Understanding forest dynamics at the stand level is crucial for sustainable management. Landsat time series have been shown to be effective for identification of drastic changes, such as natural disturbances or clear-cuts, but detecting subtle change
Externí odkaz:
https://doaj.org/article/65d78fec27414288be51842f761cc239
Childhood Sexual Abuse, Sexual Behavior, and Revictimization in Adolescence and Youth: A Mini Review
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
Childhood sexual abuse (CSA) is considered as an activity aimed at providing sexual pleasure, stimulation, or sexual gratification to an adult who uses a minor for this purpose, taking advantage of the situation of superiority. CSA can have devastati
Externí odkaz:
https://doaj.org/article/a22f9e8db8bc4e91b724e0c4cc6d48dc
Autor:
Jessica Esteban, Ronald E. McRoberts, Alfredo Fernández-Landa, José Luis Tomé, Miguel Marchamalo
Publikováno v:
Remote Sensing, Vol 12, Iss 20, p 3360 (2020)
Forest/non-forest and forest species maps are often used by forest inventory programs in the forest estimation process. For example, some inventory programs establish field plots only on lands corresponding to the forest portion of a forest/non-fores
Externí odkaz:
https://doaj.org/article/a528ad931181445c9b2a7198b61c132d
Estimating Forest Volume and Biomass and Their Changes Using Random Forests and Remotely Sensed Data
Publikováno v:
Remote Sensing, Vol 11, Iss 16, p 1944 (2019)
Despite the popularity of random forests (RF) as a prediction algorithm, methods for constructing confidence intervals for population means using this technique are still only sparsely reported. For two regional study areas (Spain and Norway) RF was
Externí odkaz:
https://doaj.org/article/a5d7e86bee8e404da0461e71b5df5834
Autor:
José Antonio Navarro, Nur Algeet, Alfredo Fernández-Landa, Jessica Esteban, Pablo Rodríguez-Noriega, María Luz Guillén-Climent
Publikováno v:
Remote Sensing, Vol 11, Iss 1, p 77 (2019)
Due to the increasing importance of mangroves in climate change mitigation projects, more accurate and cost-effective aboveground biomass (AGB) monitoring methods are required. However, field measurements of AGB may be a challenge because of their re
Externí odkaz:
https://doaj.org/article/1ae98818384e4c729f443ab6da29ff53
One of the most serious psychosocial problems worldwide is substance abuse because of its repercussions not only on the physical and psychological health of the abuser but also on their relational functioning. Among the well-established therapeutic a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfa78c3047f180caa6a55b4f8fd2e6ae
http://zaguan.unizar.es/record/121385
http://zaguan.unizar.es/record/121385
Autor:
Ronald E. McRoberts, Erik Næsset, Zhengyang Hou, Göran Ståhl, Svetlana Saarela, Jessica Esteban, Davide Travaglini, Jahangir Mohammadi, Gherardo Chirici
Publikováno v:
Remote Sensing of Environment. 288:113455
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cd379b09fe4ba8cd2d4c5e0f6c4a740
https://doi.org/10.1016/j.rse.2023.113455
https://doi.org/10.1016/j.rse.2023.113455
Publikováno v:
Remote Sensing; Volume 13; Issue 18; Pages: 3611
Remote Sensing
Remote Sensing, Vol 13, Iss 3611, p 3611 (2021)
Remote Sensing
Remote Sensing, Vol 13, Iss 3611, p 3611 (2021)
Understanding forest dynamics at the stand level is crucial for sustainable management. Landsat time series have been shown to be effective for identification of drastic changes, such as natural disturbances or clear-cuts, but detecting subtle change
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fe97033206a4c847937c56afddd3c87
Autor:
Ronald E. McRoberts, Erik Næsset, Juha Heikkinen, Qi Chen, Victor Strimbu, Jessica Esteban, Zhengyang Hou, Francesca Giannetti, Jahangir Mohammadi, Gherardo Chirici
Publikováno v:
Remote Sensing of Environment. 281:113168
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c45e7b13fc034ca0bac927dfe525517
https://doi.org/10.1016/j.rse.2022.113168
https://doi.org/10.1016/j.rse.2022.113168