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Javier Gallego

Publications -  21
Citations -  2989

Javier Gallego is an academic researcher. The author has contributed to research in topics: Land cover & Pixel. The author has an hindex of 13, co-authored 18 publications receiving 2656 citations.

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Determination of Deforestation Rates of the World's Humid Tropical Forests

TL;DR: The recently completed research program (TREES) employing the global imaging capabilities of Earth-observing satellites provides updated information on the status of the world's humid tropical forest cover, indicating that the global net rate of change in forest cover for the humid tropics is 23% lower than the generally accepted rate.
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Validation of the global land cover 2000 map

TL;DR: The Joint Research Centre of the European Commission (JRC), in partnership with 30 institutions, has produced a global land cover map for the year 2000, the GLC 2000 map, and the validation of the product has now been completed.
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Comparison of Global Land Cover Datasets for Cropland Monitoring

TL;DR: It is revealed that cropland information varies substantially among the analyzed land cover datasets, whereas FAO-GLCshare and Globeland30 generally provided adequate results to monitor croplands, whereas LC-CCI2010 and GLC2000 are less unsuitable due to large overestimations in the former and out of date information and low accuracy in the latter.
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Long-term (1990–2019) monitoring of forest cover changes in the humid tropics

TL;DR: The authors showed that 17% of tropical moist forests have disappeared since 1990 with a remaining area of 1071 million hectares in 2019, from which 10% are degraded, and suggested that reinforcing actions are needed to prevent the initial degradation that leads to forest clearance in 45% of the cases.
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Using CORINE Land Cover and the Point Survey LUCAS for Area Estimation

TL;DR: The contingency table obtained overlaying CLC and LUCAS gives the fine scale composition of CLC classes, and using CLC for post-stratification of L UCAS is equivalent to the direct calibration estimator when the sampling units are points.