LEADER 00792nam0-22002891i-450- 001 990001621190403321 005 20050225090143.0 035 $a000162119 035 $aFED01000162119 035 $a(Aleph)000162119FED01 035 $a000162119 100 $a20030910d1933----km-y0itay50------ba 101 0 $afre 200 1 $aAmiante chrysotile au Canada$fJames Gordon Ross. 210 $aOttawa$cJ.-O. Patenaude$d1933 215 $a160 p., 34 tav.$d25 cm 610 0 $aGiacimenti minerari 610 0 $aAmianto 676 $a553.67 700 1$aRoss,$bJames Gordon$069192 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001621190403321 952 $a60 549.9 B 16$b10418$fFAGBC 959 $aFAGBC 996 $aAmiante chrysotile au Canada$9369734 997 $aUNINA LEADER 04762nam 2201393z- 450 001 9910557338103321 005 20220111 035 $a(CKB)5400000000042497 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76724 035 $a(oapen)doab76724 035 $a(EXLCZ)995400000000042497 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances in Remote Sensing for Global Forest Monitoring 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (352 p.) 311 08$a3-0365-1252-7 311 08$a3-0365-1253-5 330 $aThe 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. 606 $aEnvironmental economics$2bicssc 606 $aResearch and information: general$2bicssc 610 $aactivity data 610 $abootstrapping 610 $aboreal forest 610 $aBowen ratio 610 $aC-band 610 $acanopy height model 610 $acarbon flux 610 $aclassification 610 $acompatible equation 610 $aconstrained neighbor interpolation 610 $aCRFasRNN 610 $aCUSUM 610 $adata assessment 610 $adata fusion 610 $adeep learning 610 $adeforestation 610 $adegradation 610 $adigital surface model 610 $adigital terrain model 610 $adrought 610 $adual-FCN8s 610 $aEBLUP 610 $aemissions factor 610 $aerror propagation 610 $aerror-in-variable modeling 610 $aFCN8s 610 $afield measured LAI 610 $aforest area change 610 $aforest cover 610 $aforest disturbance mapping 610 $aforest monitoring 610 $aforest structure change 610 $aforest type 610 $agenetic algorithm 610 $aGermany 610 $aGF2 610 $aimproved k-NN 610 $ainconsistency 610 $aIPCC good practice guidelines 610 $aLa Rioja 610 $aland use land cover 610 $aLandsat 610 $aleave-one-out cross-validation 610 $aLiDAR 610 $alogistic regression 610 $amachine-learning 610 $amagnitude 610 $amultinomial logistic regression 610 $amultitemporal LiDAR and stand-level estimates 610 $an/a 610 $anear real-time monitoring 610 $anonlinear seemingly unrelated regression 610 $aNRT monitoring 610 $aordinary neighbor interpolation 610 $aPicea crassifolia Kom 610 $apoint cloud density 610 $arandom forest 610 $arandom forests 610 $aremotely sensed LAI 610 $aremovals factor 610 $asavanna 610 $aSentinel 2 610 $aSentinel-1 610 $aSentinel-2 610 $asmall area estimation 610 $aSouth Africa 610 $astate space models 610 $astatistical estimator 610 $astereo imagery 610 $asupport vector machine 610 $asynthetic aperture radar 610 $atemperate forest 610 $atemporal dynamics 610 $atime series satellite data 610 $atropical forest 610 $atropical peat 610 $auncertainty 610 $auncertainty evaluation 610 $avalidation 610 $awindstorm damage 615 7$aEnvironmental economics 615 7$aResearch and information: general 700 $aTomppo$b Erkki$4edt$01322272 702 $aPraks$b Jaan$4edt 702 $aWang$b Guangxing$4edt 702 $aWaser$b Lars T$4edt 702 $aTomppo$b Erkki$4oth 702 $aPraks$b Jaan$4oth 702 $aWang$b Guangxing$4oth 702 $aWaser$b Lars T$4oth 906 $aBOOK 912 $a9910557338103321 996 $aAdvances in Remote Sensing for Global Forest Monitoring$93034740 997 $aUNINA