04762nam 2201393z- 450 991055733810332120220111(CKB)5400000000042497(oapen)https://directory.doabooks.org/handle/20.500.12854/76724(oapen)doab76724(EXLCZ)99540000000004249720202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvances in Remote Sensing for Global Forest MonitoringBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (352 p.)3-0365-1252-7 3-0365-1253-5 The topics of the book cover forest parameter estimation, methods to assess land cover and change, forest disturbances and degradation, and forest soil drought estimations. Airborne laser scanner data, aerial images, as well as data from passive and active sensors of different spatial, spectral and temporal resolutions have been utilized. Parametric and non-parametric methods including machine and deep learning methods have been employed. Uncertainty estimation is a key topic in each study. In total, 15 articles are included, of which one is a review article dealing with methods employed in remote sensing aided greenhouse gas inventories, and one is the Editorial summary presenting a short review of each article.Environmental economicsbicsscResearch and information: generalbicsscactivity databootstrappingboreal forestBowen ratioC-bandcanopy height modelcarbon fluxclassificationcompatible equationconstrained neighbor interpolationCRFasRNNCUSUMdata assessmentdata fusiondeep learningdeforestationdegradationdigital surface modeldigital terrain modeldroughtdual-FCN8sEBLUPemissions factorerror propagationerror-in-variable modelingFCN8sfield measured LAIforest area changeforest coverforest disturbance mappingforest monitoringforest structure changeforest typegenetic algorithmGermanyGF2improved k-NNinconsistencyIPCC good practice guidelinesLa Riojaland use land coverLandsatleave-one-out cross-validationLiDARlogistic regressionmachine-learningmagnitudemultinomial logistic regressionmultitemporal LiDAR and stand-level estimatesn/anear real-time monitoringnonlinear seemingly unrelated regressionNRT monitoringordinary neighbor interpolationPicea crassifolia Kompoint cloud densityrandom forestrandom forestsremotely sensed LAIremovals factorsavannaSentinel 2Sentinel-1Sentinel-2small area estimationSouth Africastate space modelsstatistical estimatorstereo imagerysupport vector machinesynthetic aperture radartemperate foresttemporal dynamicstime series satellite datatropical foresttropical peatuncertaintyuncertainty evaluationvalidationwindstorm damageEnvironmental economicsResearch and information: generalTomppo Erkkiedt1322272Praks JaanedtWang GuangxingedtWaser Lars TedtTomppo ErkkiothPraks JaanothWang GuangxingothWaser Lars TothBOOK9910557338103321Advances in Remote Sensing for Global Forest Monitoring3034740UNINA