Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Adrián Cardíl"'
Autor:
Adrián Cardil, Marcos Rodrigues, Renaud Barbero, Joaquin Ramírez, Cathelijne Stoof, Carlos Alberto Silva, Midhun Mohan, Pere Gelabert, Macarena Ortega, Sergio de-Miguel
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-3 (2024)
Externí odkaz:
https://doaj.org/article/8372f92df2cd49d7bfd8f98efe0c67a5
Autor:
Lara G. Moussa, Midhun Mohan, Nicola Burmeister, Shalini A. L. King, John A. Burt, Stefanie M. Rog, Michael S. Watt, Susantha Udagedara, Lara Sujud, Jorge F. Montenegro, Joe Eu Heng, Susana Almeida Carvalho, Tarig Ali, Bijeesh Kozhikkodan Veettil, Pavithra S. Pitumpe Arachchige, Jasem A. Albanai, Frida Sidik, Amin Shaban, Martha Lucia Palacios Peñaranda, Naji El Beyrouthy, Ana Novo, Meshal M. Abdullah, Ammar Abulibdeh, Talal Al-Awadhi, Adrián Cardil, Ewane Basil Ewane
Publikováno v:
Land, Vol 13, Iss 9, p 1351 (2024)
Mangrove ecotourism is gaining immense popularity in the Gulf Cooperation Council (GCC) countries as a neoliberal conservation tool, and it has contributed significantly to the growth of the tourism sector in the region over the past two decades. How
Externí odkaz:
https://doaj.org/article/292c45b4a974448ebc54bb71719ea0fa
Autor:
Esmaeel Adrah, Wan Shafrina Wan Mohd Jaafar, Hamdan Omar, Shaurya Bajaj, Rodrigo Vieira Leite, Siti Munirah Mazlan, Carlos Alberto Silva, Maggie Chel Gee Ooi, Mohd Nizam Mohd Said, Khairul Nizam Abdul Maulud, Adrián Cardil, Midhun Mohan
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 3172 (2022)
Canopy height is a fundamental parameter for determining forest ecosystem functions such as biodiversity and above-ground biomass. Previous studies examining the underlying patterns of the complex relationship between canopy height and its environmen
Externí odkaz:
https://doaj.org/article/e2581808a95e40118721393adfdf37f9
Autor:
Luisa Velasquez-Camacho, Adrián Cardil, Midhun Mohan, Maddi Etxegarai, Gabriel Anzaldi, Sergio de-Miguel
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4889 (2021)
Urban trees and forests provide multiple ecosystem services (ES), including temperature regulation, carbon sequestration, and biodiversity. Interest in ES has increased amongst policymakers, scientists, and citizens given the extent and growth of urb
Externí odkaz:
https://doaj.org/article/d2b045a9c5f749f6b752f9f5a00fb4eb
Autor:
Midhun Mohan, Gabriella Richardson, Gopika Gopan, Matthew Mehdi Aghai, Shaurya Bajaj, G. A. Pabodha Galgamuwa, Mikko Vastaranta, Pavithra S. Pitumpe Arachchige, Lot Amorós, Ana Paula Dalla Corte, Sergio de-Miguel, Rodrigo Vieira Leite, Mahlatse Kganyago, Eben North Broadbent, Willie Doaemo, Mohammed Abdullah Bin Shorab, Adrian Cardil
Publikováno v:
Remote Sensing, Vol 13, Iss 13, p 2596 (2021)
Replanting trees helps with avoiding desertification, reducing the chances of soil erosion and flooding, minimizing the risks of zoonotic disease outbreaks, and providing ecosystem services and livelihood to the indigenous people, in addition to sequ
Externí odkaz:
https://doaj.org/article/bef2de467a0244acbb4cf2f3c7c9e376
Autor:
Carlos Alberto Silva, Andrew Thomas Hudak, Carine Klauberg, Lee Alexandre Vierling, Carlos Gonzalez-Benecke, Samuel de Padua Chaves Carvalho, Luiz Carlos Estraviz Rodriguez, Adrián Cardil
Publikováno v:
Carbon Balance and Management, Vol 12, Iss 1, Pp 1-16 (2017)
Abstract Background LiDAR remote sensing is a rapidly evolving technology for quantifying a variety of forest attributes, including aboveground carbon (AGC). Pulse density influences the acquisition cost of LiDAR, and grid cell size influences AGC pr
Externí odkaz:
https://doaj.org/article/b123fec550a740f489d5c32be7883c77
Autor:
Goran Krsnik, Eduard Busquets Olivé, Míriam Piqué Nicolau, Asier Larrañaga, Adrián Cardil, Jordi García-Gonzalo, José Ramón González Olabarría
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4124 (2020)
Both fire risk assessment and management of wildfire prevention strategies require different sources of data to represent the complex geospatial interaction that exists between environmental variables in the most accurate way possible. In this sense,
Externí odkaz:
https://doaj.org/article/778f8ed1e08040daab365d6a9734451f
Autor:
Rodrigo Vieira Leite, Carlos Alberto Silva, Midhun Mohan, Adrián Cardil, Danilo Roberti Alves de Almeida, Samuel de Pádua Chaves e Carvalho, Wan Shafrina Wan Mohd Jaafar, Juan Guerra-Hernández, Aaron Weiskittel, Andrew T. Hudak, Eben N. Broadbent, Gabriel Prata, Ruben Valbuena, Hélio Garcia Leite, Mariana Futia Taquetti, Alvaro Augusto Vieira Soares, Henrique Ferraço Scolforo, Cibele Hummel do Amaral, Ana Paula Dalla Corte, Carine Klauberg
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3599 (2020)
Fast-growing Eucalyptus spp. forest plantations and their resultant wood products are economically important and may provide a low-cost means to sequester carbon for greenhouse gas reduction. The development of advanced and optimized frameworks for e
Externí odkaz:
https://doaj.org/article/a4f5228e9e4341fa916ae59aa763d2af
Autor:
Franciel Eduardo Rex, Carlos Alberto Silva, Ana Paula Dalla Corte, Carine Klauberg, Midhun Mohan, Adrián Cardil, Vanessa Sousa da Silva, Danilo Roberti Alves de Almeida, Mariano Garcia, Eben North Broadbent, Ruben Valbuena, Jaz Stoddart, Trina Merrick, Andrew Thomas Hudak
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1498 (2020)
Accurately quantifying forest aboveground biomass (AGB) is one of the most significant challenges in remote sensing, and is critical for understanding global carbon sequestration. Here, we evaluate the effectiveness of airborne LiDAR (Light Detection
Externí odkaz:
https://doaj.org/article/423aa9411fbe4d62a336bd70bf0dbbec
Autor:
Vanessa Sousa da Silva, Carlos Alberto Silva, Midhun Mohan, Adrián Cardil, Franciel Eduardo Rex, Gabrielle Hambrecht Loureiro, Danilo Roberti Alves de Almeida, Eben North Broadbent, Eric Bastos Gorgens, Ana Paula Dalla Corte, Emanuel Araújo Silva, Rubén Valbuena, Carine Klauberg
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1438 (2020)
Light Detection and Ranging (LiDAR) remote sensing has been established as one of the most promising tools for large-scale forest monitoring and mapping. Continuous advances in computational techniques, such as machine learning algorithms, have been
Externí odkaz:
https://doaj.org/article/444f58722cfa455cad9e3b613b91aa4e