Research on wildfires and remote sensing in the last three decades: a bibliometric analysis
Evaluating the impact of wildland fires on landscapes, a pursuit increasingly supported by
remote sensing techniques, requires an understanding of wildfire dynamics. This research …
remote sensing techniques, requires an understanding of wildfire dynamics. This research …
Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes
Satellites allow large‐scale surveys to be conducted in short time periods with repeat
surveys possible at intervals of< 24 h. Very‐high‐resolution satellite imagery has been …
surveys possible at intervals of< 24 h. Very‐high‐resolution satellite imagery has been …
Different approaches make comparing studies of burn severity challenging: a review of methods used to link remotely sensed data with the Composite Burn Index
The Composite Burn Index (CBI) is commonly linked to remotely sensed data to understand
spatial and temporal patterns of burn severity. However, a comprehensive understanding of …
spatial and temporal patterns of burn severity. However, a comprehensive understanding of …
Impact of forest fires on air quality in Wolgan Valley, New South Wales, Australia—A mapping and monitoring study using Google Earth Engine
Forests are an important natural resource and are instrumental in sustaining environmental
sustainability. Burning biomass in forests results in greenhouse gas emissions, many of …
sustainability. Burning biomass in forests results in greenhouse gas emissions, many of …
A proposed ensemble feature selection method for estimating forest aboveground biomass from multiple satellite data
Y Zhang, J Liu, W Li, S Liang - Remote Sensing, 2023 - mdpi.com
Feature selection (FS) can increase the accuracy of forest aboveground biomass (AGB)
prediction from multiple satellite data and identify important predictors, but the role of FS in …
prediction from multiple satellite data and identify important predictors, but the role of FS in …
Stratified burn severity assessment by integrating spaceborne spectral and waveform attributes in Great Xing'an Mountain
Burn severity assessment is critical for understanding the pattern of post-fire vegetation
recovery and ecosystem resilience. Previous studies proposed various field criteria (eg …
recovery and ecosystem resilience. Previous studies proposed various field criteria (eg …
Assessment of burned forest area severity and postfire regrowth in chapada diamantina national park (Bahia, Brazil) using dnbr and rdnbr spectral indices
Fire scar detection through orbital data can be done using specific techniques, such as the
use of spectral indices like the normalized burn ratio (NBR), which are designed to help …
use of spectral indices like the normalized burn ratio (NBR), which are designed to help …
Short-term effects of fire severity on vegetation based on sentinel-2 satellite data
A Han, S Qing, Y Bao, L Na, Y Bao, X Liu, J Zhang… - Sustainability, 2021 - mdpi.com
An important component in improving the quality of forests is to study the interference
intensity of forest fires, in order to describe the intensity of the forest fire and the vegetation …
intensity of forest fires, in order to describe the intensity of the forest fire and the vegetation …
Continuous field mapping of Mediterranean wetlands using sub-pixel spectral signatures and multi-temporal Landsat data
J Reschke, C Hüttich - International Journal of Applied Earth Observation …, 2014 - Elsevier
Wetlands rank among the most diverse ecosystems on earth and function as important
ecosystem service providers. Pressures on wetland ecosystems caused by human activities …
ecosystem service providers. Pressures on wetland ecosystems caused by human activities …
[PDF][PDF] 基于NBR 指数分析大兴安岭呼中森林过火区的林火烈度
王晓莉， 王文娟， 常禹， 冯玉婷， 陈宏伟， 胡远满… - 应用生态 …, 2013 - researchgate.net
摘摇要摇基于TM 影像和3S 技术手段, 利用NBR 指数对1986—2010 年大兴安岭呼中林区森林
过火区林火烈度进行了定量评价, 分析了林火烈度与植被类型, 海拔, 坡度和坡向等环境因子的 …
过火区林火烈度进行了定量评价, 分析了林火烈度与植被类型, 海拔, 坡度和坡向等环境因子的 …