Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Mariela Soto-Berelov"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103673- (2024)
Burn severity has been widely studied. Typical approaches use spectral differencing indices from remotely sensed data to extrapolate in-situ severity assessments. Next generation geostationary data offer near-continuous fire behaviour information, wh
Externí odkaz:
https://doaj.org/article/0d6b6aa9dc734c1f8c4697469dc08316
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 122, Iss , Pp 103403- (2023)
Passive and active spaceborne remote sensing technologies play a key role in monitoring forests across large areas, particularly when combining the advantages of both sensor technologies. This study investigates the link between spectral and structur
Externí odkaz:
https://doaj.org/article/2461e7bda2db417482eaae25c9b68c17
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 117, Iss , Pp 103214- (2023)
Geostationary and polar-orbiting remote sensors have different opportunities to observe wildfires. While polar-orbiting sensors have been favoured in wildfire observations, geostationary sensors offer a higher observation frequency. Here, we assess t
Externí odkaz:
https://doaj.org/article/51aacd8e91f74052adbb4513c11cec5d
Publikováno v:
Environmental Challenges, Vol 9, Iss , Pp 100625- (2022)
Protected areas play a crucial role in the conservation and management of wildlife, but land use and land cover change (LULCC) threatens the status of protected areas. Sri Lanka has a history of severe human–elephant conflict (HEC). In the last 15
Externí odkaz:
https://doaj.org/article/4335a32e65034fd0a741187eebd05fe6
Publikováno v:
Forests, Vol 14, Iss 6, p 1098 (2023)
Research Highlights: We used Landsat time series data to investigate the role forest tenure and protection status play in the recovery of a forest after a fire. Background and Objectives: Changing fire regimes put forests in southeast Australia under
Externí odkaz:
https://doaj.org/article/fa135ee14dae42b9a6e2659a4f897c50
Autor:
Samuel Hislop, Simon Jones, Mariela Soto‐Berelov, Andrew Skidmore, Andrew Haywood, Trung H. Nguyen
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 5, Iss 4, Pp 376-388 (2019)
Abstract Across the world, millions of hectares of forest are burned by wildfires each year. Satellite remote sensing, particularly when used in time series, can describe complex disturbance‐recovery processes, but is underutilized by ecologists. T
Externí odkaz:
https://doaj.org/article/326e38d901f34dcc8a0eac1d03834669
Autor:
Samuel Hislop, Andrew Haywood, Masoomeh Alaibakhsh, Trung H. Nguyen, Mariela Soto-Berelov, Simon Jones, Christine Stone
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 105, Iss , Pp 102636- (2021)
Comprehensive and robust estimations of forest disturbance over time are lacking in many parts of the world. In recent years, Landsat satellite data has been used extensively to retrospectively map forest disturbance across several decades. Human int
Externí odkaz:
https://doaj.org/article/bf0dea8b223444c39535c614a6af9dac
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2096 (2022)
Forest structure is an important variable in ecology, fire behaviour, and carbon management. New spaceborne lidar sensors, such as the Global Ecosystem Dynamics Investigation (GEDI), enable forest structure to be mapped at a global scale. Virtual GED
Externí odkaz:
https://doaj.org/article/a1d265e0e31e42e7958d9130667b2224
Autor:
Samuel Hislop, Andrew Haywood, Simon Jones, Mariela Soto-Berelov, Andrew Skidmore, Trung H. Nguyen
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 87, Iss , Pp 102034- (2020)
The regular and consistent measurements provided by Earth observation satellites can support the monitoring and reporting of forest indicators. Although substantial scientific literature espouses the capabilities of satellites in this area, the techn
Externí odkaz:
https://doaj.org/article/368478ee47dc4a35b7af16dd21978077
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 84, Iss , Pp 101952- (2020)
Understanding forest biomass dynamics is crucial for carbon and environmental monitoring, especially in the context of climate change. In this study, we propose a robust approach for monitoring aboveground forest biomass (AGB) dynamics by combining L
Externí odkaz:
https://doaj.org/article/7278177a841b4b7ba8405becc06e8fa0