Annual dynamics of forest areas in South America during 2007–2010 at 50-m spatial resolution

@article{Qin2017AnnualDO,
  title={Annual dynamics of forest areas in South America during 2007–2010 at 50-m spatial resolution},
  author={Yuanwei Qin and Xiangming Xiao and Jinwei Dong and Yuting Zhou and Jie Wang and Russell B. Doughty and Ying Chen and Zhenhua Zou and Berrien Moore},
  journal={Remote Sensing of Environment},
  year={2017},
  volume={201},
  pages={73-87}
}
Spatio–Temporal Changes of Forests in Northeast China: Insights from Landsat Images and Geospatial Analysis
TLDR
An updating and object-based image analysis method to map forests in Northeast China using Landsat images from 1990 to 2015 showed that the percentage of forested area occupying the entire northeast China was more than 40%, about 94% of initial forest cover remained unchanged, and forest changes along elevation, slope, and distance from settlements and roads were investigated.
Integrated Analyses of PALSAR and Landsat Imagery Reveal More Agroforests in a Typical Agricultural Production Region, North China Plain
TLDR
This study implies that the integration of PALSAR and Landsat data can provide promising agroforest estimates in future forest inventory efforts, targeting a comprehensive understanding of ecosystem services of agroforests and a more accurate carbon budget inventory.
Improved estimates of forest cover and loss in the Brazilian Amazon in 2000–2017
The data, information and knowledge on the tropical forest area and its dynamics in the Brazilian Amazon remain contentious. We use time-series satellite images to quantify annual forest area, loss
Tropical deforestation monitoring using NDVI from MODIS satellite: a case study in Pahang, Malaysia
Malaysian tropical forest vegetation cover type has experienced a continuous degradation and defragmentation during the past two decades. This study examined the tropical forest land cover density
Integrated remote sensing for urban forest changes monitoring
Drivers of global climate change and the increased frequency of extreme climate events may affect urban and periurban forest ecosystems more rapidly than natural forest ecosystems. Multi stressors of
Annual Maps of Forests in Australia from Analyses of Microwave and Optical Images with FAO Forest Definition
The Australian governmental agencies reported a total of 149 million ha forest in the Food and Agriculture Organization of the United Nations (FAO) in 2010, ranking sixth in the world, which is based
Mapping annual forest cover by fusing PALSAR/PALSAR-2 and MODIS NDVI during 2007–2016
Satellite remote sensing detection of forest vegetation land cover changes and their potential drivers
Climate changes and rapid urbanization are the main factors affecting forest vegetation land cover around the globe. Satellite remote sensing data provide important information to detect changes in
Tracking Reforestation in the Loess Plateau, China after the "Grain for Green" Project through Integrating PALSAR and Landsat Imagery
TLDR
This study clearly demonstrates the advantages of data fusion between PALSAR and Landsat images for monitoring forest cover dynamics in the Loess Plateau, and the resultant forest maps with lower uncertainty would contribute to the regional forest management.
...
...

References

SHOWING 1-10 OF 62 REFERENCES
Mapping forests in monsoon Asia with ALOS PALSAR 50-m mosaic images and MODIS imagery in 2010
TLDR
An algorithm was developed to map forests in 2010, with the use of structure and biomass information from the Advanced Land Observation System (ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR) mosaic dataset and the phenological information from MODerate Resolution Imaging Spectroradiometer (MOD13Q1 and MOD09A1) products.
High-Resolution Global Maps of 21st-Century Forest Cover Change
TLDR
Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally, and boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms.
Assessment of forest disturbances by selective logging and forest fires in the Brazilian Amazon using Landsat data
The rapid environmental changes occurring in the Brazilian Amazon due to widespread deforestation have attracted the attention of the scientific community for several decades. A topic of particular
New global forest/non-forest maps from ALOS PALSAR data (2007–2010)
Forest cover maps of China in 2010 from multiple approaches and data sources: PALSAR, Landsat, MODIS, FRA, and NFI
Relationships between burned area, forest cover loss, and land cover change in the Brazilian Amazon based on satellite data
Abstract. Fires are used as a tool in the deforestation process. Yet, the relationship between fire and deforestation may vary temporally and spatially depending on the type of deforestation and
Land Cover Characterization and Mapping of South America for the Year 2010 Using Landsat 30 m Satellite Data
TLDR
This study used Landsat 30 m satellite data of 2010 and prepared the land cover database of South America using state-of-the-science remote sensing techniques and produced regionally consistent and locally relevant land cover information by processing a large volume of data covering the entire continent.
Benchmark map of forest carbon stocks in tropical regions across three continents
TLDR
A “benchmark” map of biomass carbon stocks over 2.5 billion ha of forests on three continents, encompassing all tropical forests, for the early 2000s is presented, which will be invaluable for REDD assessments at both project and national scales.
...
...