XXII ISPRS Congress 2012: Technical Commission VII

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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:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

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

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

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:: [VII/1: PHYSICAL MODELLING AND SIGNATURES IN REMOTE SENSING]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: GEOSTATISTICAL ANALYSIS OF SURFACE TEMPERATURE AND IN-SITU SOIL MOISTURE USING LST TIME-SERIES FROM MODIS M. Sohrabinia, W. Rack and P Zawar-Reza

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia GEOSTATISTICAL ANALYSIS OF SURFACE TEMPERATURE AND IN-SITU SOIL MOISTURE USING LST TIME-SERIES FROM MODIS M. Sohrabinia*!, W. Rack? and P Zawar-Reza! ! Department of Geography, Atmospheric Research Centre ? Gateway Antarctica, Centre for Antarctic Studies & Research University of Canterbury Christchurch, New Zealand sohrabinia.m Q gmail.com, wolfgang.rack @canterbury.ac.nz, peyman.zawar-reza 9 canterbury.ac.nz http://www.canterbury.ac.nz/ Commission VII/1 KEY WORDS: MODIS, MODIS LST, skin temperature, near-surface soil moisture, land cover, geostatistics, time-series ABSTRACT: The objective of this analysis is to provide a quantitative estimate of the fluctuations of land surface temperature (LST) with varying near surface soil moisture (SM) on different land-cover (LC) types. The study area is located in the Canterbury Plains in the South Island of New Zealand. Time series of LST from the MODerate resolution Imaging Spectro-radiometer (MODIS) have been analysed statistically to study the relationship between the surface skin temperature and near-surface SM. In-situ measurements of the skin temperature and surface SM with a quasi-experimental design over multiple LC types are used for validation. Correlations between MODIS LST and in-situ SM, as well as in-situ surface temperature and SM are calculated. The in-situ measurements and MODIS data are collected from various LC types. Pearson's r correlation coefficient and linear regression are used to fit the MODIS LST and surface skin temperature with near-surface SM. There was no significant correlation between time-series of MODIS LST and near-surface SM from the initial analysis, however, careful analysis of the data showed significant correlation between the two parameters. Night-time series of the in-situ surface temperature and SM from a 12 hour period over Irrigated-Crop, Mixed-Grass, Forest, Barren and Open- Grass showed inverse correlations of -0.47, -0.68, -0.74, -0.88 and -0.93, respectively. These results indicated that the relationship between near-surface SM and LST in short-terms (12 to 24 hours) is strong, however, remotely sensed LST with higher temporal resolution is required to establish this relationship in such time-scales. This method can be used to study near-surface SM using more frequent LST observations from a geostationary satellite over the study area. 1 INTRODUCTION Near surface soil moisture (SM), defined as the water content of the upper 10 cm of the soil (Wang and Qu, 2009), is measured by remote sensing satellites using the electromagnetic radiation in three distinct ranges: the visible and near-infrared region, thermal region and the microwave region. Image analysis and interpreta- tion techniques such as soil wetness indexes, directly (Bhagat, 2009) or indirectly (Sgrensen et al., 2005, Grabs et al.. 2009) us- ing remotely sensed data in the visible and near-infrared region are applied to estimate wetness of the near-surface soil layer. The algorithms used in the thermal region are based on the surface energy balance. These algorithms are based on the partition- ing of the net surface energy to the sensible, latent and ground heat fluxes. With the knowledge on the sensible and ground heat fluxes (Qr and Qa), which is based on the land surface temper- ature (LST) and the ancillary data about the surface types under consideration, the latent heat flux (Qz) is estimated (see Eq. 1 and 2). Qzg is used as an indicator of the amount of water con- tent in the near surface soil layer. Microwave remote sensing techniques in SM analysis rely on known dielectric properties of the soil and water (Jackson et al., 1996). The advantage of mi- crowave sensors is the availability of the observations in almost all-weather conditions, which enables more frequent data acquisi- tion; however, compared to the moderate resolution thermal sen- sors, the spatial resolution of these sensors is coarse (Hain et al., 2011). Other works have used a combination of optical, thermal and microwave remote sensing data (Wang et al., 2004, Hassan et al, 2007, Gruhier et al., 2010, Hain et al, 2011). More com- plex methods such as the Soil-Vegetation-Atmosphere-Transfer 17 (SVAT) model (Carlson et al, 1994) exploit combination of the remotely sensed data to establish a relationship between surface SM, surface temperature and vegetation cover. Considering the objective of the current research, thermal remote sensing algo- rithms are of interest in this paper. LST product is one of many datasets derived from day and night observations of the Moderate Resolution Imaging Spectroradiome- ter (MODIS) twin sensors on-board Terra and Aqua satellites, which is a wealth of data covering most of the land masses of the globe over the last 10 years. With a more frequent overpass than Landsat (near-daily) and higher spatial resolution (250, 500 and 1000 m) than some of its predecessors such as the Advanced Very High Resolution Radiometer (AVHRR), MODIS provides a comprehensive series of land, ocean, and atmosphere obser- vations (LPDAAC, 2010). The LST product is suitable for use in a variety of research including soil and water resources, agri- culture, climate and atmospheric modelling and research. Infor- mation on LST is necessary for parameterization of land surface processes in numerical models (Sun and Pinker, 2004). LST is dependent on the incoming shortwave and longwave radiation, but also landcover (LC) type and the amount of near surface SM. Surface SM affects diurnal change of surface temperature, and it is a key variable in computing several parameters of the land en- ergy and water budget (Zhang et al., 2007). LST is used for SM assessment using rigorous physical models, such as Surface En- ergy Balance Algorithm for Land (SEBAL), which estimates SM based on parameterization of surface heat fluxes (Bastiaanssen, 2000). MODIS LST product archived for more than 10 years is a valuable data source which can be used in these algorithms. The

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