AI applications in forest monitoring need remote sensing benchmark datasets
With the rise in high resolution remote sensing technologies there has been an explosion in
the amount of data available for forest monitoring, and an accompanying growth in artificial …
the amount of data available for forest monitoring, and an accompanying growth in artificial …
[HTML][HTML] Ormancılıkta makine öğrenmesi kullanımı
Gelişen teknolojiyle beraber diğer disiplinlerde olduğu gibi ormancılıkta da geleneksel
uygulamaların daha ekonomik, etkin, hızlı ve kolay yapılabilmesi için yenilikçi yaklaşımların …
uygulamaların daha ekonomik, etkin, hızlı ve kolay yapılabilmesi için yenilikçi yaklaşımların …
[HTML][HTML] Potential of convolutional neural networks for forest mapping using sentinel-1 interferometric short time series
R Dal Molin Jr, P Rizzoli - Remote Sensing, 2022 - mdpi.com
The monitoring of land cover and land use patterns is pivotal in the joint effort to fight
deforestation in the Amazon and study its relation to climate change effects with respect to …
deforestation in the Amazon and study its relation to climate change effects with respect to …
How good is TanDEM-X 50 m forest/non-forest map? Product validation using temporally corrected geo-browser supplied imagery through Collect Earth
Abstract TanDEM-X Forest/Non-Forest (FNF) map (s) have been one such data focusing on
the status of global forest coverage, which has played an essential role in combating climate …
the status of global forest coverage, which has played an essential role in combating climate …
[HTML][HTML] Change detection of selective logging in the brazilian amazon using x-band sar data and pre-trained convolutional neural networks
It is estimated that, in the Brazilian Amazon, forest degradation contributes three times more
than deforestation for the loss of gross above-ground biomass. Degradation, in particular …
than deforestation for the loss of gross above-ground biomass. Degradation, in particular …
Identifying colorectal tumor for single cell RNA sequence using rectified linear unit with stochastic gradient descent
To detect cell clusters in whole human colorectal tumor cells, mechanisms based on single-
cell RNA sequencing have been reported. To address such issues, a deep learning …
cell RNA sequencing have been reported. To address such issues, a deep learning …
[HTML][HTML] Simplified and High Accessibility Approach for the Rapid Assessment of Deforestation in Developing Countries: A Case of Timor-Leste
Forests are essential for sustaining ecosystems, regulating the climate, and providing
economic benefits to human society. However, activities such as commercial practices …
economic benefits to human society. However, activities such as commercial practices …
[HTML][HTML] Removal of ionospheric effects from sigma naught images of the ALOS/PALSAR-2 satellite
FF Gama, NC Wiederkehr, P da Conceição Bispo - Remote Sensing, 2022 - mdpi.com
The monitoring of forest degradation in the Amazon through radar remote sensing
methodologies has increased intensely in recent years. Synthetic aperture radar (SAR) …
methodologies has increased intensely in recent years. Synthetic aperture radar (SAR) …
[HTML][HTML] Combining Sentinel-1 and Landsat 8 does not improve classification accuracy of tropical selective logging
Tropical forests play a key role in the global carbon and hydrological cycles, maintaining
biological diversity, slowing climate change, and supporting the global economy and local …
biological diversity, slowing climate change, and supporting the global economy and local …
Deforestation rate estimation using crossbreed multilayer convolutional neural networks
DA Subhahan, CNSV Kumar - Multimedia Tools and Applications, 2024 - Springer
Deforestation is an important environmental issue that involves the removal of forests on a
large scale, resulting in ecological imbalance and biodiversity loss. Synthetic Aperture …
large scale, resulting in ecological imbalance and biodiversity loss. Synthetic Aperture …