XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/6: Agriculture, Ecosystems and Bio-Diversity]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: ASSESSMENT OF INDIAN CARBON CYCLE COMPONENTS USING EARTH OBSERVATION SYSTEMS AND GROUND INVENTORY V. K. Dadhwal

Document type:: Multivolume work

Structure type:: Chapter

The National Carbon Project was implemented as a set of three inter-related sub-projects and recent results from different sub projects and challenges ahead of the project are presented in the paper. 2. VEGETATION CARBON POOLS The vegetation carbon pools assessment was carried out with the following two objectives: » Assessment of terrestrial vegetation biomass in the country using ground sampling and satellite remote sensing data » To generate geospatial data of the terrestrial phyto mass Carbon of India along with estimates of uncertainty. 2.1 Vegetation Carbon Pools1 (VCP) As part of (VCP), an optimal phytomass density observation, modeling and mapping approach for national-scale forest carbon pool assessment was defined. A total of 6500 field plot data from forests and trees outside forests was collected with defined sampling protocols. The forest density, vegetation type map, accessibility (nearness to road), normalized difference vegetation index and district boundary have been used to select sites for sampling. 2,350 permanent sample plots were identified for further monitoring as well as for quality assurance. 753 regional species volume equations and general equations were collated. Specific gravity data of 16,400 species of the Asia has been collected. Specific gravity of 86 fire wood trees and shrub growing in wasteland/degraded sites has been added. A geo-referenced relational database of plot wise forest inventory and biomass density estimates was prepared. Figure 1 shows the various methods of generating spatial biomass map that is being employed as per the regional suitability and availability of data types. $5 C... f 6500 field plot data x S 250 permanent glare € Spatially explicit above ground forest 5. carbon (5x5km) South I Western Ghats 0.2-::] 5-4 di 40-2 883 20.308888 30) Figure 1: Methods for generating biomass image using various remote sensing sensor data and ground inventory data Pilot studies in 16 test-sites in different ecological regions in the country have been taken to test the methodology for biomass estimation and spectral modeling using optical and microwave data in forest ecosystem. End-to-end analyses at eight sites have been completed. Interferometric Water Cloud Model (IWCM) has been successfully applied for forest biomass retrieval in Dudhwa National Park (Pandey et al., 2010). Similarly the plot-wise field data from south Gujarat (Patil et al., 2012) was aggregated to MODIS pixel (250 m) International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia using area weightages of forest/vegetation. The study reports that above ground phytomass varied from 6.13 t/ha to 389.166 t/ha. The contribution of bamboo in AGB has been found very high. The phytomass range obtained by using MODIS data varies from 0.147 t/ha to 182.16 t/ha. Recent estimates found that conservation policies have resulted in increase of the country's forest carbon stocks from 6244.8 to 6621.6 Mt with an annual increment of 37.7 Mt of the carbon from 1995 to 2005 (Kishwan et al, 2011). Spatial explicit biomass estimation procedures were also tested to quantify biomass distribution in Orissa state using data mining techniques. The study involved evaluating the relationship between basal area and stand height collected over 17,500 plots and different spatial information on multi temporal spectral data, terrain, climate, forest type and crown density using random forest decision tree algorithm. 2.1.1 Crop NPP (above and below ground) from historical agricultural statistics data: Vegetation Photosynthesis Model (VPM) based on original Monteith's growth analysis approach is implemented to derive decadal and annual dry matter productivity over cropland of India. Solar radiation databases over Indian sub-continent were generated using monthly MODIS derived cloud cover using Angstrom & Prescott Model. Spatially explicit fields of time- varying incident Photosynthetically Active Radiation (PAR) and fraction of PAR were derived from remote sensing data. Fraction of absorbed photosynthetically active radiation was computed based on linear scaling of NDVI and chlorophyll related Enhanced Vegetation Index (EVI). Spatial distribution of maximum light use efficiency is derived by adjusting for spatially varying proportion of crop groups such as C3 and C4 crops. Environmental stress scalars for adjusting potential productivity were derived from combination of daily grided climate from IMD and decadal RS based land surface wetness indices. (Patel et al., 2010 and Wani et al., 2010). 2.2 Soil Carbon Pools Soil Organic Carbon (SOC) is the largest terrestrial carbon pool. Soil can be a source of (CO,, CHy, and N,0) or sink (CO, and CH,) of greenhouse gases depending on land use and management (Lal, 1999). As part of Second national communication of India, forest soil pool estimates of 3.51 Pg and 3.75 Pg for the 1995 and 2005 respectively were reported using 657 soil samples (Kishwan et al., 2011). In order to bring out further reliable estimates on soil C pools, soil sample data for about 1500 locations is collected across India out of which about 600 are forest soil samples. A geospatial frame work is being developed to integrate field data with LULC, topography and drainage information to assess the soil Carbon Pools. (Krishan et al., 2009 and Velmurugan et al., 2009). Chhabra et al, 2003 prepared a database of published measurements of soil organic carbon containing information on location, soil type, texture, measured/estimated bulk density and forest type in Indian forests. It was used for estimating soil organic carbon densities for various forest types for two-depth classes (0-50 and 0—100 cm). The mean soil organic carbon density estimates for top 50 cm based on 175 observations ranged from 37.5 t/ha in tropical dry deciduous forest to 92.1 t/ha in littoral and swamp forest. The mean soil organic carbon density estimates based on 136 observations ranged from 70 t/ha in tropical dry deciduous forest to 162 t/ha in montane temperate forest for top 1 m soil depth. Inte 23:35 The t unbia: 2001) appro (Sund (NCP tower meası covar is pla Carbc objec Figui the aj Thre: Uttar estab (Fig meas flux Site mode autor One flux Mod atmo gene

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