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      Cloud-Based Remote Sensing with Google Earth Engine : Fundamentals and Applications 

      Forest Degradation and Deforestation

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          Abstract

          Tropical forests are being disturbed by deforestation and forest degradation at an unprecedented pace (Hansen et al. in Science 342:850–853, 2013; Bullock et al. in Glob Change Biol 26:2956–2969, 2020). Deforestation completely removes the original forest cover and replaces it with another land cover type, such as pasture or agriculture fields. Generally speaking, forest degradation is a temporary or permanent disturbance, often caused by predatory logging, fires, or forest fragmentation, where the tree loss does not entirely change the land cover type. Forest degradation leads to a more complex environment with a mixture of vegetation, soil, tree trunks and branches, and fire ash. Defining a boundary between deforestation and forest degradation is not straightforward; at the time this chapter was written, there was no universally accepted definition for forest degradation (Aryal et al. in Remote Sens 13:2666, 2021). Furthermore, the signal of forest degradation often disappears within one to two years, making degraded forests spectrally similar to undisturbed forests. Due to these factors, detecting and mapping forest degradation with remotely sensed optical data is more challenging than mapping deforestation.

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          High-resolution global maps of 21st-century forest cover change.

          Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil's well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change.
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            Continuous change detection and classification of land cover using all available Landsat data

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              Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon

              J. Adams (1995)
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                2024
                October 02 2023
                : 1061-1091
                10.1007/978-3-031-26588-4_49
                1ba96dbb-55c8-4468-8d93-1478faf8bb3d
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