Forest disturbance alerts for the Congo Basin using Sentinel-1
A humid tropical forest disturbance alert using Sentinel-1 radar data is presented for the
Congo Basin. Radar satellite signals can penetrate through clouds, allowing Sentinel-1 to …
Congo Basin. Radar satellite signals can penetrate through clouds, allowing Sentinel-1 to …
Sentinel-1 and 2 time-series for vegetation mapping using random forest classification: A case study of Northern Croatia
Land-cover (LC) mapping in a morphologically heterogeneous landscape area is a
challenging task since various LC classes (eg, crop types in agricultural areas) are …
challenging task since various LC classes (eg, crop types in agricultural areas) are …
[HTML][HTML] CNN-based burned area mapping using radar and optical data
In this paper, we present an in-depth analysis of the use of convolutional neural networks
(CNN), a deep learning method widely applied in remote sensing-based studies in recent …
(CNN), a deep learning method widely applied in remote sensing-based studies in recent …
[HTML][HTML] Monitoring direct drivers of small-scale tropical forest disturbance in near real-time with Sentinel-1 and-2 data
Advancements in satellite-based forest monitoring increasingly enable the near real-time
detection of small-scale tropical forest disturbances. However, there is an urgent need to …
detection of small-scale tropical forest disturbances. However, there is an urgent need to …
Artisanal exploitation of mineral resources: remote sensing observations of environmental consequences, social and ethical aspects
Since the rise of the gold price in 2000, artisanal and small-scale gold mining (ASGM) is a
growing economic activity in developing countries. It represents a source of income for …
growing economic activity in developing countries. It represents a source of income for …
Earth environmental monitoring using multi-temporal synthetic aperture radar: A critical review of selected applications
Microwave remote sensing has widely demonstrated its potential in the continuous
monitoring of our rapidly changing planet. This review provides an overview of state-of-the …
monitoring of our rapidly changing planet. This review provides an overview of state-of-the …
[HTML][HTML] Assessing SAR C-band data to effectively distinguish modified land uses in a heavily disturbed Amazon forest
The Amazon is the largest expanse of tropical rainforest globally and deforestation resulting
from land use changes poses a major concern for sustainable resource management …
from land use changes poses a major concern for sustainable resource management …
Optimizing near real-time detection of deforestation on tropical rainforests using sentinel-1 data
J Doblas, Y Shimabukuro, S Sant'Anna, A Carneiro… - Remote Sensing, 2020 - mdpi.com
Early Warning Systems (EWS) for near real-time detection of deforestation are a
fundamental component of public policies focusing on the reduction in forest biomass loss …
fundamental component of public policies focusing on the reduction in forest biomass loss …
Use of SAR and optical time series for tropical forest disturbance mapping
Frequent cloud cover and fast regrowth often hamper topical forest disturbance monitoring
with optical data. This study aims at overcoming these limitations by combining dense time …
with optical data. This study aims at overcoming these limitations by combining dense time …
Assessing combinations of Landsat, Sentinel-2 and Sentinel-1 time series for detecting bark beetle infestations
Bark beetle infestations are among the most substantial forest disturbance agents
worldwide. Moreover, as a consequence of global climate change, they have increased in …
worldwide. Moreover, as a consequence of global climate change, they have increased in …