Mapping Carbon Stocks In Central And South America With Smap Vegetation Optical Depth
| Autor: | Alessandro Cescatti, Gregory Duveiller, David Chaparro, Adriano Camps, Maria Piles, Dara Entekhabi, M. Vall-llossera |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
| Rok vydání: | 2019 |
| Předmět: |
Canopy
L band Teledetecció 010504 meteorology & atmospheric sciences Radiofreqüència 0208 environmental biotechnology Climate change Optical radar 02 engineering and technology 01 natural sciences Comunicacions òptiques Carboni Image resolution 0105 earth and related environmental sciences Remote sensing Vegetation mapping Vegetation Optical communications Tropics Enhanced vegetation index Enginyeria de la telecomunicació [Àrees temàtiques de la UPC] Carbon 020801 environmental engineering Enginyeria de la telecomunicació::Telecomunicació òptica [Àrees temàtiques de la UPC] Climate change mitigation Remote sensing by laser beam Spatial ecology Environmental science Sistemes de gestió mediambiental |
| Zdroj: | IGARSS UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| DOI: | 10.1109/igarss.2019.8900244 |
| Popis: | Mapping carbon stocks in the tropics is essential for climate change mitigation. Passive microwave remote sensing allows estimating carbon from deep canopy layers through the Vegetation Optical Depth (VOD) parameter. Although their spatial resolution is coarser than that of optical vegetation indices or airborne Lidar data, microwaves present a higher penetration capacity at low frequencies (L-band) and avoid cloud masking. This work compares the relationships of airborne carbon maps in Central and South America with both (i) SMAP L-band VOD at 9 km gridding and (ii) MODIS Enhanced Vegetation Index (EVI). Models to estimate carbon stocks are built from these two satellite-derived variables. Results show that L-band VOD has a greater capacity to model carbon variability than EVI. The resulting VOD-derived carbon estimates are further presented at a detailed (9 km) spatial scale. The L-band VOD data are available from the authors upon request. This study has been supported by the Spanish government through the projects ESP2015-67549-C3-1-R and ESP2017-89463-C3-2-R, and through the award "Unidad de Excelencia María de Maeztu" MDM-2016-0600, financed by the "Agencia Estatal de Investigación" (Spain). The study has been supported also by the European Regional development Fund (ERDF). Maria Piles is supported by a Ramón y Cajal contract (MINECO) and by the project RTI2018-096765-A-100 (MCIU/AEI/FEDER, UE). We thank the Carnegie Airborne Observatory for making the AGB maps available. |
| Databáze: | OpenAIRE |
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