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/8: Land]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: HIGH TEMPORAL FREQUENCY BIOPHYSICAL AND STRUCTURAL VEGETATION INFORMATION FROM MULTIPLE REMOTE SENSING SENSORS CAN SUPPORT MODELLING OF EVENT BASED HILLSLOPE EROSION IN QUEENSLAND B. Schoettker, R. Searle, M. Schmidt, S. Phinn

Document type:: Multivolume work

Structure type:: Chapter

[EI 66 68 ) andscape structure and Assessment, ing and predicting t Paul, Winnipeg, f Environmental /04/2010, from CID/711/ItemID/8 /12/2011, from ge processing: a , Vol, pp. Pages, ‘cover change and ie Bindura district, Development, 18, 008. Urbanization 1al directorate of using landsat data, ment, 140, 1-14. 1d E Ene, 2002. ysis Program for oftware program e University of the following web h/fragstats/fragsta ication of remote ver mapping and western Nigeria, al Science and decision approach ng Markov chain jach, Canadian of id use change and l'aihu Lake Basin. informatics 18th, , er Changes Using orth-East Turkey, Landsat data to ng basin, China, 7. 1e role of land use ital change, Land 78. 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 HIGH TEMPORAL FREQUENCY BIOPHYSICAL AND STRUCTURAL VEGETATION INFORMATION FROM MULTIPLE REMOTE SENSING SENSORS CAN SUPPORT MODELLING OF EVENT BASED HILLSLOPE EROSION IN QUEENSLAND B. Schoettker * *, R. Searle °, M. Schmidt “, S. Phinn * * The School of Geography, Planning and Environmental Management, The University of Queensland, 4072 St Lucia, Queensland, Australia — b.schoettker@ug.edu.au ? Commonwealth Scientific and Industrial Research Organisation, Ecosciences Precinct, 4102 Dutton Park, Queensland, Australia * Queensland Department of Environment and Resource Management, Remote Sensing Centre Environment and Resource Sciences Ecosciences Precinct, 4102 Dutton Park, Queensland, Australia Commission VIII/8: Land KEY WORDS: vegetation, dynamic, multisensor, erosion modelling, MODIS, terrestrial, management. ABSTRACT: This study demonstrates the potential applicability of high temporal frequency information on the biophysical condition of the vegetation from a time series of the global Moderate Resolution Imaging Spectroradiometer (MODIS) Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) from 2000 to 2006 (collection 4; 8-day composites in 1 km spatial resolution) to improve modelling of soil loss in a tropical, semi-arid catchment in Queensland. Combining the biophysical information from the MODIS FPAR with structural vegetation information from the Geoscience Laser Altimeter System on the Ice, Cloud, and land Elevation Satellite (ICESat) for six vegetation structural categories identified from a Landsat Thematic Mapper 5 (TM) and Enhanced Thematic Mapper 7 (ETM+) woody foliage projective cover product representing floristically and structurally homogeneous areas, dynamic vegetative cover factor (vCf) estimates were calculated. The dynamic vCf were determined in accordance with standard calculation methods used in erosion models worldwide. Time series of dynamic vCf were integrated into a regionally improved version of the Universal Soil Loss Equation (USLE) to predict daily soil losses for the study area. Resulting time series of daily soil loss predictions averaged over the study area coincided well with measures of total suspended solids (TSS) (mg/l) at a gauge at the outlet of the catchment for three wet seasons (R? of 0.96 for a TSS-event). By integrating the dynamic vCf into modified USLE, the strength of the dependence of daily soil loss predictions to the only other dynamic factor in the equation - daily rainfall erosivity - was reduced. 1. INTRODUCTION 1.1 Motivation and aim The relevance of the vegetative cover components to mitigate soil loss effects by water and their potential to improve water quality downstream is widely accepted and has been proven valid over a range of ecosystems worldwide (Renard, Smith et al. 1997; Vrieling 2006; de Asis and Omasa 2007). High quality information on the biophysical and structural properties of the total vegetation cover (TVC), optimally taken at high temporal frequency, is thus indispensable to support sustainable Natural Resource Management (NRM) of land and water. This is particularly valid in complex and highly dynamic savanna ecosystems, such as the tropical, semi-arid coastal catchments of Queensland adjacent to the Great Barrier Reef (GBR), where key challenges include declining water quality, land degradation and soil erosion, and terrestrial discharges into the lagoon (Hutchings and Hoegh-Guldberg 2008). Remote sensing applications and broad-scale catchment modelling offer invaluable potential to complement classical field-based NRM in the assessment of temporal and spatial aspects of soil erosion in the savanna ecosystems of these tropical, semi-arid coastal catchments of Queensland (Searle * Corresponding author. and Ellis 2009). However, tropical savannas pose a particular challenge to remote sensing applications due to abundant senescent plant material being present at most times of the year in a structurally complex and heterogeneous landscape (Asner 1998), which all influence the biophysical and spectral properties of TVC at canopy and landscape (Asner and Wessman 1997). For the detection of non-photosynthetic vegetation (NPV) in remote sensing applications the wavelength of photosynthetically active radiation (PAR) (400-700 nm) has also proven useful, since PAR is not always used for photosynthesis (‘functional PAR’) (Asner 1998; Thomas, Finch et al. 2006). A significant component of incident PAR can be absorbed by NPV material in savanna ecosystems, particularly in areas with a leaf area index (LAI) of less than 3.0; standing grass litter canopies absorbed almost as much PAR as green grass canopies (Asner 1998). How much PAR is absorbed at the landscape scale is greatly affected by overstorey (trees) but the relative differences in absorbed radiation are also affected by the understorey (mostly grasses) LAI. Global remotely sensed products provide free of charge, high temporal estimates of biophysical properties that relate to relevant ecosystem structure and function and provide estimates of vegetation structure at different scales. Examples of these are

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