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Project2015 land cover map of Chongoroi, Angola 2022
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No results found.The 2015 land cover map of Chongoroi, Angola has been developed as part of the process of land degradation assessment in the area from 2001 to 2021. A stratified random sampling by land cover class was used for training data collection in Collect Earth Online. Land cover legend classes are prepared using LCLM/LCCS v3. A temporal segmentation has been applied to Landsat image collections over the area of interest using the Continuous Change Detection and Classification (CCDC) algorithm in SEPAL platform. CCDC slice for 1 July 2015 has been used to generate the 2015 land cover map of Chongoroi by using a Random Forest classification algorithm in Google Earth Engine. -
Project2018 land cover map of Chongoroi, Angola 2022
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No results found.The 2018 land cover map of Chongoroi, Angola has been developed as part of the process of land degradation assessment in the area from 2001 to 2021. A stratified random sampling by land cover class was used for training data collection in Collect Earth Online. Land cover legend classes are prepared using LCLM/LCCS v3. A temporal segmentation has been applied to Landsat image collections over the area of interest using the Continuous Change Detection and Classification (CCDC) algorithm in SEPAL platform. CCDC slice for 1 July 2018 has been used to generate the 2018 land cover map of Chongoroi by using a Random Forest classification algorithm in Google Earth Engine. -
Book (stand-alone)NAFORMA: National Forest Resources Monitoring and Assessment of Tanzania Mainland
Sampling Design Options for 2nd Biophysical Inventory (NAFORMA II)
2022Also available in:
No results found.Three options for the sampling design of the field plot clusters of NAFORMA II biophysical survey are compared in this report. Option 1 consists of re-measuring all NAFORMA I field sample plots (3 205 clusters) and Option 2 of re-measuring only those that were established as permanent (848 clusters). The recommended Option 3 is a compromise between these two “extreme” options: Re-measure a subset (1 405 clusters) of NAFORMA I field sample plots including (almost) all permanent clusters and a carefully selected set of other NAFORMA I field plot clusters to obtain a uniform sample within each TFS zone. Design Option 3 has the following features: • Sampling intensity is uniform within each TFS zone. This makes it simple to use the data. For example, mean volumes can be estimated by averages over the plots. • The selected clusters are well-spread over the target population. • The anticipated precision of land-class area and mean wood volume relative to sample size is nearly as good as that of NAFORMA I. • All proposed clusters were measured in NAFORMA I, which enables precise estimation of change based on repeated measurements. The costs and precision were anticipated by utilizing NAFORMA I field data, information about subsequent improvements in the road network, and changes in land-use using satellite imaging derived land-class maps.
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