The Experts below are selected from a list of 46194 Experts worldwide ranked by ideXlab platform
Frederic Achard - One of the best experts on this subject based on the ideXlab platform.
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Remote sensing of Forest Degradation in Southeast Asia-Aiming for a regional view through 5-30 m satellite data
Global Ecology and Conservation, 2014Co-Authors: Jukka Miettinen, Hans-jürgen Stibig, Frederic AchardAbstract:In this review paper we present geographical, ecological and historical aspects of Southeast Asia from the perspective of Forest Degradation monitoring and critically discuss available approaches for large area Forest Degradation monitoring with satellite remote sensing data at high to medium spatial resolution (5-30 m). Several authors have achieved promising results in geographically limited areas within Southeast Asia using automated detection algorithms. However, the application of automated methods to large area assessments remains a major challenge. To-date, nearly all large area assessments of Forest Degradation in the region have included a strong visual interpretation component. We conclude that due to the variety of Forest types and Forest disturbance levels, as well as the variable image acquisition conditions in Southeast Asia, it is unlikely that Forest Degradation monitoring can be conducted throughout the region using a single automated approach with currently available remote sensing data. The provision of regionally consistent information on Forest Degradation from satellite remote sensing data remains therefore challenging. However, the expected increase in observation frequency in the near future (due to Landsat 8 and Sentinel-2 satellites) may lead to the desired improvement in data availability and enable consistent and robust regional Forest Degradation monitoring in Southeast Asia.
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Remote sensing of Forest Degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data
Global Ecology and Conservation, 2014Co-Authors: Jukka Miettinen, Hans-jürgen Stibig, Frederic AchardAbstract:In this review paper we present geographical, ecological and historical aspects of Southeast Asia from the perspective of Forest Degradation monitoring and critically discuss available approaches for large area Forest Degradation monitoring with satellite remote sensing data at high to medium spatial resolution (5–30 m). Several authors have achieved promising results in geographically limited areas within Southeast Asia using automated detection algorithms. However, the application of automated methods to large area assessments remains a major challenge. To-date, nearly all large area assessments of Forest Degradation in the region have included a strong visual interpretation component. We conclude that due to the variety of Forest types and Forest disturbance levels, as well as the variable image acquisition conditions in Southeast Asia, it is unlikely that Forest Degradation monitoring can be conducted throughout the region using a single automated approach with currently available remote sensing data. The provision of regionally consistent information on Forest Degradation from satellite remote sensing data remains therefore challenging. However, the expected increase in observation frequency in the near future (due to Landsat 8 and Sentinel-2 satellites) may lead to the desired improvement in data availability and enable consistent and robust regional Forest Degradation monitoring in Southeast Asia.
Christoph Thies - One of the best experts on this subject based on the ideXlab platform.
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satellite based primary Forest Degradation assessment in the democratic republic of the congo 2000 2010
Environmental Research Letters, 2013Co-Authors: Ilona Zhuravleva, Florian Verbelen, Svetlana Turubanova, Peter Potapov, Alexandra Tyukavina, Susan Minnemeyer, N Laporte, S J Goetz, Matthew C Hansen, Christoph ThiesAbstract:Primary Forest extent, loss and Degradation within the Democratic Republic of the Congo (DRC) were quantified from 2000 to 2010 by combining directly mapped Forest cover extent and loss data (CARPE) with indirectly mapped Forest Degradation data (intact Forest landscapes, IFL). Landsat data were used to derive both map inputs, and data from the GLAS (Geoscience Laser Altimetry System) sensor were employed to validate the discrimination of primary intact and primary degraded Forests. In the year 2000, primary humid tropical Forests occupied 104?455?kha of the country, with 61% of these Forests classified as intact. From 2000 to 2010, 1.02% of primary Forest cover was lost due to clearing, and almost 2% of intact primary Forests were degraded due to alteration and fragmentation. While primary Forest clearing increased by a factor of two between 2000?2005 and 2005?2010, the Degradation of intact Forests slightly decreased. Fragmentation and selective logging were the leading causes of intact Forest Degradation, accounting for 91% of IFL area change. The 10?year Forest Degradation rate within designated logging permit areas was 3.8 times higher compared to other primary Forest areas. Within protected areas the Forest Degradation rate was 3.7 times lower than in other primary Forest areas. Forest Degradation rates were high in the vicinity of major urban areas. Given the observed Forest Degradation rates, we infer that the Degradation of intact Forests could increase up to two-fold over the next decade.
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Satellite-based primary Forest Degradation assessment in the Democratic Republic of the Congo, 2000–2010
Environmental Research Letters, 2013Co-Authors: Ilona Zhuravleva, Florian Verbelen, Svetlana Turubanova, Peter Potapov, Alexandra Tyukavina, Susan Minnemeyer, N Laporte, S J Goetz, Matthew C Hansen, Christoph ThiesAbstract:Primary Forest extent, loss and Degradation within the Democratic Republic of the Congo (DRC) were quantified from 2000 to 2010 by combining directly mapped Forest cover extent and loss data (CARPE) with indirectly mapped Forest Degradation data (intact Forest landscapes, IFL). Landsat data were used to derive both map inputs, and data from the GLAS (Geoscience Laser Altimetry System) sensor were employed to validate the discrimination of primary intact and primary degraded Forests. In the year 2000, primary humid tropical Forests occupied 104?455?kha of the country, with 61% of these Forests classified as intact. From 2000 to 2010, 1.02% of primary Forest cover was lost due to clearing, and almost 2% of intact primary Forests were degraded due to alteration and fragmentation. While primary Forest clearing increased by a factor of two between 2000?2005 and 2005?2010, the Degradation of intact Forests slightly decreased. Fragmentation and selective logging were the leading causes of intact Forest Degradation, accounting for 91% of IFL area change. The 10?year Forest Degradation rate within designated logging permit areas was 3.8 times higher compared to other primary Forest areas. Within protected areas the Forest Degradation rate was 3.7 times lower than in other primary Forest areas. Forest Degradation rates were high in the vicinity of major urban areas. Given the observed Forest Degradation rates, we infer that the Degradation of intact Forests could increase up to two-fold over the next decade.
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Satellite-based primary Forest Degradation assessment in the Democratic Republic of the Congo, 2000–2010
Environmental Research Letters, 2013Co-Authors: Ilona Zhuravleva, Florian Verbelen, Svetlana Turubanova, Peter Potapov, Alexandra Tyukavina, Susan Minnemeyer, N Laporte, S J Goetz, Matthew C Hansen, Christoph ThiesAbstract:Primary Forest extent, loss and Degradation within the Democratic Republic of the Congo (DRC) were quantified from 2000 to 2010 by combining directly mapped Forest cover extent and loss data (CARPE) with indirectly mapped Forest Degradation data (intact Forest landscapes, IFL). Landsat data were used to derive both map inputs, and data from the GLAS (Geoscience Laser Altimetry System) sensor were employed to validate the discrimination of primary intact and primary degraded Forests. In the year 2000, primary humid tropical Forests occupied 104?455?kha of the country, with 61% of these Forests classified as intact. From 2000 to 2010, 1.02% of primary Forest cover was lost due to clearing, and almost 2% of intact primary Forests were degraded due to alteration and fragmentation. While primary Forest clearing increased by a factor of two between 2000?2005 and 2005?2010, the Degradation of intact Forests slightly decreased. Fragmentation and selective logging were the leading causes of intact Forest Degradation, accounting for 91% of IFL area change. The 10?year Forest Degradation rate within designated logging permit areas was 3.8 times higher compared to other primary Forest areas. Within protected areas the Forest Degradation rate was 3.7 times lower than in other primary Forest areas. Forest Degradation rates were high in the vicinity of major urban areas. Given the observed Forest Degradation rates, we infer that the Degradation of intact Forests could increase up to two-fold over the next decade.
Jukka Miettinen - One of the best experts on this subject based on the ideXlab platform.
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Remote sensing of Forest Degradation in Southeast Asia-Aiming for a regional view through 5-30 m satellite data
Global Ecology and Conservation, 2014Co-Authors: Jukka Miettinen, Hans-jürgen Stibig, Frederic AchardAbstract:In this review paper we present geographical, ecological and historical aspects of Southeast Asia from the perspective of Forest Degradation monitoring and critically discuss available approaches for large area Forest Degradation monitoring with satellite remote sensing data at high to medium spatial resolution (5-30 m). Several authors have achieved promising results in geographically limited areas within Southeast Asia using automated detection algorithms. However, the application of automated methods to large area assessments remains a major challenge. To-date, nearly all large area assessments of Forest Degradation in the region have included a strong visual interpretation component. We conclude that due to the variety of Forest types and Forest disturbance levels, as well as the variable image acquisition conditions in Southeast Asia, it is unlikely that Forest Degradation monitoring can be conducted throughout the region using a single automated approach with currently available remote sensing data. The provision of regionally consistent information on Forest Degradation from satellite remote sensing data remains therefore challenging. However, the expected increase in observation frequency in the near future (due to Landsat 8 and Sentinel-2 satellites) may lead to the desired improvement in data availability and enable consistent and robust regional Forest Degradation monitoring in Southeast Asia.
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Remote sensing of Forest Degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data
Global Ecology and Conservation, 2014Co-Authors: Jukka Miettinen, Hans-jürgen Stibig, Frederic AchardAbstract:In this review paper we present geographical, ecological and historical aspects of Southeast Asia from the perspective of Forest Degradation monitoring and critically discuss available approaches for large area Forest Degradation monitoring with satellite remote sensing data at high to medium spatial resolution (5–30 m). Several authors have achieved promising results in geographically limited areas within Southeast Asia using automated detection algorithms. However, the application of automated methods to large area assessments remains a major challenge. To-date, nearly all large area assessments of Forest Degradation in the region have included a strong visual interpretation component. We conclude that due to the variety of Forest types and Forest disturbance levels, as well as the variable image acquisition conditions in Southeast Asia, it is unlikely that Forest Degradation monitoring can be conducted throughout the region using a single automated approach with currently available remote sensing data. The provision of regionally consistent information on Forest Degradation from satellite remote sensing data remains therefore challenging. However, the expected increase in observation frequency in the near future (due to Landsat 8 and Sentinel-2 satellites) may lead to the desired improvement in data availability and enable consistent and robust regional Forest Degradation monitoring in Southeast Asia.
Ilona Zhuravleva - One of the best experts on this subject based on the ideXlab platform.
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satellite based primary Forest Degradation assessment in the democratic republic of the congo 2000 2010
Environmental Research Letters, 2013Co-Authors: Ilona Zhuravleva, Florian Verbelen, Svetlana Turubanova, Peter Potapov, Alexandra Tyukavina, Susan Minnemeyer, N Laporte, S J Goetz, Matthew C Hansen, Christoph ThiesAbstract:Primary Forest extent, loss and Degradation within the Democratic Republic of the Congo (DRC) were quantified from 2000 to 2010 by combining directly mapped Forest cover extent and loss data (CARPE) with indirectly mapped Forest Degradation data (intact Forest landscapes, IFL). Landsat data were used to derive both map inputs, and data from the GLAS (Geoscience Laser Altimetry System) sensor were employed to validate the discrimination of primary intact and primary degraded Forests. In the year 2000, primary humid tropical Forests occupied 104?455?kha of the country, with 61% of these Forests classified as intact. From 2000 to 2010, 1.02% of primary Forest cover was lost due to clearing, and almost 2% of intact primary Forests were degraded due to alteration and fragmentation. While primary Forest clearing increased by a factor of two between 2000?2005 and 2005?2010, the Degradation of intact Forests slightly decreased. Fragmentation and selective logging were the leading causes of intact Forest Degradation, accounting for 91% of IFL area change. The 10?year Forest Degradation rate within designated logging permit areas was 3.8 times higher compared to other primary Forest areas. Within protected areas the Forest Degradation rate was 3.7 times lower than in other primary Forest areas. Forest Degradation rates were high in the vicinity of major urban areas. Given the observed Forest Degradation rates, we infer that the Degradation of intact Forests could increase up to two-fold over the next decade.
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Satellite-based primary Forest Degradation assessment in the Democratic Republic of the Congo, 2000–2010
Environmental Research Letters, 2013Co-Authors: Ilona Zhuravleva, Florian Verbelen, Svetlana Turubanova, Peter Potapov, Alexandra Tyukavina, Susan Minnemeyer, N Laporte, S J Goetz, Matthew C Hansen, Christoph ThiesAbstract:Primary Forest extent, loss and Degradation within the Democratic Republic of the Congo (DRC) were quantified from 2000 to 2010 by combining directly mapped Forest cover extent and loss data (CARPE) with indirectly mapped Forest Degradation data (intact Forest landscapes, IFL). Landsat data were used to derive both map inputs, and data from the GLAS (Geoscience Laser Altimetry System) sensor were employed to validate the discrimination of primary intact and primary degraded Forests. In the year 2000, primary humid tropical Forests occupied 104?455?kha of the country, with 61% of these Forests classified as intact. From 2000 to 2010, 1.02% of primary Forest cover was lost due to clearing, and almost 2% of intact primary Forests were degraded due to alteration and fragmentation. While primary Forest clearing increased by a factor of two between 2000?2005 and 2005?2010, the Degradation of intact Forests slightly decreased. Fragmentation and selective logging were the leading causes of intact Forest Degradation, accounting for 91% of IFL area change. The 10?year Forest Degradation rate within designated logging permit areas was 3.8 times higher compared to other primary Forest areas. Within protected areas the Forest Degradation rate was 3.7 times lower than in other primary Forest areas. Forest Degradation rates were high in the vicinity of major urban areas. Given the observed Forest Degradation rates, we infer that the Degradation of intact Forests could increase up to two-fold over the next decade.
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Satellite-based primary Forest Degradation assessment in the Democratic Republic of the Congo, 2000–2010
Environmental Research Letters, 2013Co-Authors: Ilona Zhuravleva, Florian Verbelen, Svetlana Turubanova, Peter Potapov, Alexandra Tyukavina, Susan Minnemeyer, N Laporte, S J Goetz, Matthew C Hansen, Christoph ThiesAbstract:Primary Forest extent, loss and Degradation within the Democratic Republic of the Congo (DRC) were quantified from 2000 to 2010 by combining directly mapped Forest cover extent and loss data (CARPE) with indirectly mapped Forest Degradation data (intact Forest landscapes, IFL). Landsat data were used to derive both map inputs, and data from the GLAS (Geoscience Laser Altimetry System) sensor were employed to validate the discrimination of primary intact and primary degraded Forests. In the year 2000, primary humid tropical Forests occupied 104?455?kha of the country, with 61% of these Forests classified as intact. From 2000 to 2010, 1.02% of primary Forest cover was lost due to clearing, and almost 2% of intact primary Forests were degraded due to alteration and fragmentation. While primary Forest clearing increased by a factor of two between 2000?2005 and 2005?2010, the Degradation of intact Forests slightly decreased. Fragmentation and selective logging were the leading causes of intact Forest Degradation, accounting for 91% of IFL area change. The 10?year Forest Degradation rate within designated logging permit areas was 3.8 times higher compared to other primary Forest areas. Within protected areas the Forest Degradation rate was 3.7 times lower than in other primary Forest areas. Forest Degradation rates were high in the vicinity of major urban areas. Given the observed Forest Degradation rates, we infer that the Degradation of intact Forests could increase up to two-fold over the next decade.
Hans-jürgen Stibig - One of the best experts on this subject based on the ideXlab platform.
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Remote sensing of Forest Degradation in Southeast Asia-Aiming for a regional view through 5-30 m satellite data
Global Ecology and Conservation, 2014Co-Authors: Jukka Miettinen, Hans-jürgen Stibig, Frederic AchardAbstract:In this review paper we present geographical, ecological and historical aspects of Southeast Asia from the perspective of Forest Degradation monitoring and critically discuss available approaches for large area Forest Degradation monitoring with satellite remote sensing data at high to medium spatial resolution (5-30 m). Several authors have achieved promising results in geographically limited areas within Southeast Asia using automated detection algorithms. However, the application of automated methods to large area assessments remains a major challenge. To-date, nearly all large area assessments of Forest Degradation in the region have included a strong visual interpretation component. We conclude that due to the variety of Forest types and Forest disturbance levels, as well as the variable image acquisition conditions in Southeast Asia, it is unlikely that Forest Degradation monitoring can be conducted throughout the region using a single automated approach with currently available remote sensing data. The provision of regionally consistent information on Forest Degradation from satellite remote sensing data remains therefore challenging. However, the expected increase in observation frequency in the near future (due to Landsat 8 and Sentinel-2 satellites) may lead to the desired improvement in data availability and enable consistent and robust regional Forest Degradation monitoring in Southeast Asia.
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Remote sensing of Forest Degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data
Global Ecology and Conservation, 2014Co-Authors: Jukka Miettinen, Hans-jürgen Stibig, Frederic AchardAbstract:In this review paper we present geographical, ecological and historical aspects of Southeast Asia from the perspective of Forest Degradation monitoring and critically discuss available approaches for large area Forest Degradation monitoring with satellite remote sensing data at high to medium spatial resolution (5–30 m). Several authors have achieved promising results in geographically limited areas within Southeast Asia using automated detection algorithms. However, the application of automated methods to large area assessments remains a major challenge. To-date, nearly all large area assessments of Forest Degradation in the region have included a strong visual interpretation component. We conclude that due to the variety of Forest types and Forest disturbance levels, as well as the variable image acquisition conditions in Southeast Asia, it is unlikely that Forest Degradation monitoring can be conducted throughout the region using a single automated approach with currently available remote sensing data. The provision of regionally consistent information on Forest Degradation from satellite remote sensing data remains therefore challenging. However, the expected increase in observation frequency in the near future (due to Landsat 8 and Sentinel-2 satellites) may lead to the desired improvement in data availability and enable consistent and robust regional Forest Degradation monitoring in Southeast Asia.