Advances in Remote Sensing for Global Forest Monitoring
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...
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| Year of Publication: | 2021 |
| Language: | English |
| Physical Description: | 1 electronic resource (352 p.) |
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Tomppo, Erkki edt Advances in Remote Sensing for Global Forest Monitoring Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 1 electronic resource (352 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Open acess Unrestricted online acess star 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. English Research & information: general bicssc Environmental economics bicssc forest structure change EBLUP small area estimation multitemporal LiDAR and stand-level estimates forest cover Sentinel-1 Sentinel-2 data fusion machine-learning Germany South Africa temperate forest savanna classification Sentinel 2 land use land cover improved k-NN logistic regression random forest support vector machine statistical estimator IPCC good practice guidelines activity data emissions factor removals factor Picea crassifolia Kom compatible equation nonlinear seemingly unrelated regression error-in-variable modeling leave-one-out cross-validation digital surface model digital terrain model canopy height model constrained neighbor interpolation ordinary neighbor interpolation point cloud density stereo imagery remotely sensed LAI field measured LAI validation magnitude uncertainty temporal dynamics state space models forest disturbance mapping near real-time monitoring CUSUM NRT monitoring deforestation degradation tropical forest tropical peat forest type deep learning FCN8s CRFasRNN GF2 dual-FCN8s random forests error propagation bootstrapping Landsat LiDAR La Rioja forest area change data assessment uncertainty evaluation inconsistency forest monitoring drought time series satellite data Bowen ratio carbon flux boreal forest windstorm damage synthetic aperture radar C-band genetic algorithm multinomial logistic regression 3-0365-1252-7 3-0365-1253-5 Praks, Jaan edt Wang, Guangxing edt Waser, Lars T. edt Tomppo, Erkki oth Praks, Jaan oth Wang, Guangxing oth Waser, Lars T. oth |
| language |
English |
| format |
eBook |
| author2 |
Praks, Jaan Wang, Guangxing Waser, Lars T. Tomppo, Erkki Praks, Jaan Wang, Guangxing Waser, Lars T. |
| author_facet |
Praks, Jaan Wang, Guangxing Waser, Lars T. Tomppo, Erkki Praks, Jaan Wang, Guangxing Waser, Lars T. |
| author2_variant |
e t et j p jp g w gw l t w lt ltw |
| author2_role |
HerausgeberIn HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige Sonstige |
| title |
Advances in Remote Sensing for Global Forest Monitoring |
| spellingShingle |
Advances in Remote Sensing for Global Forest Monitoring |
| title_full |
Advances in Remote Sensing for Global Forest Monitoring |
| title_fullStr |
Advances in Remote Sensing for Global Forest Monitoring |
| title_full_unstemmed |
Advances in Remote Sensing for Global Forest Monitoring |
| title_auth |
Advances in Remote Sensing for Global Forest Monitoring |
| title_new |
Advances in Remote Sensing for Global Forest Monitoring |
| title_sort |
advances in remote sensing for global forest monitoring |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2021 |
| physical |
1 electronic resource (352 p.) |
| isbn |
3-0365-1252-7 3-0365-1253-5 |
| illustrated |
Not Illustrated |
| work_keys_str_mv |
AT tomppoerkki advancesinremotesensingforglobalforestmonitoring AT praksjaan advancesinremotesensingforglobalforestmonitoring AT wangguangxing advancesinremotesensingforglobalforestmonitoring AT waserlarst advancesinremotesensingforglobalforestmonitoring |
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(CKB)5400000000042497 (oapen)https://directory.doabooks.org/handle/20.500.12854/76724 (EXLCZ)995400000000042497 |
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cr |
| is_hierarchy_title |
Advances in Remote Sensing for Global Forest Monitoring |
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