3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function
Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in r...
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| Formato: | Online |
| Idioma: | inglês |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Acesso em linha: | 42656 |
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| _version_ | 1869524104941404160 |
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| author | Latifi, Hooman Valbuena, Ruben |
| author_browse | Latifi, Hooman Valbuena, Ruben |
| author_facet | Latifi, Hooman Valbuena, Ruben |
| author_sort | Latifi, Hooman |
| collection | Directory of Open Access Books |
| description | Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in recent decades calls for enhanced mitigation and adaption measures. Remote sensing data and methods are the main complementary sources of up-to-date synoptic and objective information of forest ecology. Due to the inherent 3D nature of forest ecosystems, the analysis of 3D sources of remote sensing data is considered to be most appropriate for recreating the forest’s compositional, structural and functional dynamics. In this Special Issue of Forests, we published a set of state-of-the-art scientific works including experimental studies, methodological developments and model validations, all dealing with the general topic of 3D remote sensing-assisted applications in forest ecology. We showed applications in forest ecology from a broad collection of method and sensor combinations, including fusion schemes. All in all, the studies and their focuses are as broad as a forest’s ecology or the field of remote sensing and, thus, reflect the very diverse usages and directions toward which future research and practice will be directed. |
| format | Online |
| id | doab-20.500.12854ir-39900 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-399002024-04-05T12:32:59Z 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function Latifi, Hooman Valbuena, Ruben QH301-705.5 QH540-549.5 Q1-390 normalized difference vegetation index (NDVI) SRTMGL1 SPOT-6 urban ecology terrestrial laser scanner Lantana camara terrestrial laser scanning harvester product recovery imputation optimization multi-spectral function ZiYuan-3 stereo images spatial noise 3D remote sensing tree measurement diameter at breast height (DBH) DSM metabolic scale theory municipal forestry digital photogrammetry Norway spruce missing observations interrater agreement measurement error stump height Fractional cover analysis google earth engine high-voltage power transmission lines habitat fragmentation codispersion coefficient forest fire tree height nu SVR RapidEye uneven-aged mountainous random Hough transform kriging street trees ground validation Google Street View laser species identification composition maximum forest heights mountainous areas landscape fragmentation Landsat 8 forest canopy height allometric scaling and resource limitation model urban forestry point cloud GSV stump diameter structure 3D codispersion map forest ecology polarimetery crowdsourced data thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in recent decades calls for enhanced mitigation and adaption measures. Remote sensing data and methods are the main complementary sources of up-to-date synoptic and objective information of forest ecology. Due to the inherent 3D nature of forest ecosystems, the analysis of 3D sources of remote sensing data is considered to be most appropriate for recreating the forest’s compositional, structural and functional dynamics. In this Special Issue of Forests, we published a set of state-of-the-art scientific works including experimental studies, methodological developments and model validations, all dealing with the general topic of 3D remote sensing-assisted applications in forest ecology. We showed applications in forest ecology from a broad collection of method and sensor combinations, including fusion schemes. All in all, the studies and their focuses are as broad as a forest’s ecology or the field of remote sensing and, thus, reflect the very diverse usages and directions toward which future research and practice will be directed. 2021-02-11T07:34:10Z 2021-02-11T07:34:10Z 2019-12-09 11:49:16 2019 book 42656 9783039217830 9783039217823 https://directory.doabooks.org/handle/20.500.12854/39900 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1813 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-783-0 10.3390/books978-3-03921-783-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039217830 9783039217823 188 open access |
| spellingShingle | QH301-705.5 QH540-549.5 Q1-390 normalized difference vegetation index (NDVI) SRTMGL1 SPOT-6 urban ecology terrestrial laser scanner Lantana camara terrestrial laser scanning harvester product recovery imputation optimization multi-spectral function ZiYuan-3 stereo images spatial noise 3D remote sensing tree measurement diameter at breast height (DBH) DSM metabolic scale theory municipal forestry digital photogrammetry Norway spruce missing observations interrater agreement measurement error stump height Fractional cover analysis google earth engine high-voltage power transmission lines habitat fragmentation codispersion coefficient forest fire tree height nu SVR RapidEye uneven-aged mountainous random Hough transform kriging street trees ground validation Google Street View laser species identification composition maximum forest heights mountainous areas landscape fragmentation Landsat 8 forest canopy height allometric scaling and resource limitation model urban forestry point cloud GSV stump diameter structure 3D codispersion map forest ecology polarimetery crowdsourced data thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Latifi, Hooman Valbuena, Ruben 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
| title | 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
| title_full | 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
| title_fullStr | 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
| title_full_unstemmed | 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
| title_short | 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
| title_sort | 3d remote sensing applications in forest ecology composition structure and function |
| topic | QH301-705.5 QH540-549.5 Q1-390 normalized difference vegetation index (NDVI) SRTMGL1 SPOT-6 urban ecology terrestrial laser scanner Lantana camara terrestrial laser scanning harvester product recovery imputation optimization multi-spectral function ZiYuan-3 stereo images spatial noise 3D remote sensing tree measurement diameter at breast height (DBH) DSM metabolic scale theory municipal forestry digital photogrammetry Norway spruce missing observations interrater agreement measurement error stump height Fractional cover analysis google earth engine high-voltage power transmission lines habitat fragmentation codispersion coefficient forest fire tree height nu SVR RapidEye uneven-aged mountainous random Hough transform kriging street trees ground validation Google Street View laser species identification composition maximum forest heights mountainous areas landscape fragmentation Landsat 8 forest canopy height allometric scaling and resource limitation model urban forestry point cloud GSV stump diameter structure 3D codispersion map forest ecology polarimetery crowdsourced data thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| topic_facet | QH301-705.5 QH540-549.5 Q1-390 normalized difference vegetation index (NDVI) SRTMGL1 SPOT-6 urban ecology terrestrial laser scanner Lantana camara terrestrial laser scanning harvester product recovery imputation optimization multi-spectral function ZiYuan-3 stereo images spatial noise 3D remote sensing tree measurement diameter at breast height (DBH) DSM metabolic scale theory municipal forestry digital photogrammetry Norway spruce missing observations interrater agreement measurement error stump height Fractional cover analysis google earth engine high-voltage power transmission lines habitat fragmentation codispersion coefficient forest fire tree height nu SVR RapidEye uneven-aged mountainous random Hough transform kriging street trees ground validation Google Street View laser species identification composition maximum forest heights mountainous areas landscape fragmentation Landsat 8 forest canopy height allometric scaling and resource limitation model urban forestry point cloud GSV stump diameter structure 3D codispersion map forest ecology polarimetery crowdsourced data thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| url | 42656 |
| work_keys_str_mv | AT latifihooman 3dremotesensingapplicationsinforestecologycompositionstructureandfunction AT valbuenaruben 3dremotesensingapplicationsinforestecologycompositionstructureandfunction |