Foreward to the Special Issue on Multi-Scale Forestry Applications Supported by Remote Sensing and Spatial Information Systems
| Autor: | Jesus San-Miguel Ayanz, David G. Goodenough, Daniel McInerney |
|---|---|
| Přispěvatelé: | Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere Atmospheric Science 010504 meteorology & atmospheric sciences Cover (telecommunications) Computer science Remote sensing application 0211 other engineering and technologies Ranging 02 engineering and technology 15. Life on land 01 natural sciences law.invention Data modeling Lidar law Remote sensing (archaeology) Computers in Earth Sciences Radar Scale (map) [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment ComputingMilieux_MISCELLANEOUS 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2013, 6 (1), pp.3-5. ⟨10.1109/JSTARS.2013.2244131⟩ IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6 (1), pp.3-5. ⟨10.1109/JSTARS.2013.2244131⟩ |
| ISSN: | 1939-1404 |
| DOI: | 10.1109/JSTARS.2013.2244131⟩ |
| Popis: | The papers in this special issue represent the state of the art on forest modeling and mapping techniques to provide up-to-date, consistent information on forests at different scales, ranging from local, regional through to transnational and global scales. The papers can be broadly categorized in two categories: those dealing with passive, optical remote sensing applications with a particular focus on tropical forest cover and biomass mapping, and those describing applications of active remote sensing using either radar or LiDAR applications. |
| Databáze: | OpenAIRE |
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