Influence of Slope Aspect on above Ground Biomass Estimation using ALOS-2 Data

Synthetic aperture radar data has been extensively used for above ground biomass estimation of forest. The potentials of SAR data for biomass retrieval is well understood and documented in flat surfaces, whereas limited work has been carried in hilly surfaces. This study aims to investigate the influence of slope aspect on above ground biomass estimation using ALOS-2 PALSAR-2 data over Nongkhyllem Forest Reserve and Wildlife Sanctuary, India. Approximately 3 dB difference in the backscattering coefficient has been observed between area facing towards the sensor and shadowed area having specific AGB. Further, early saturation of backscatter in shadowed areas than in the areas facing towards the sensor due to increase in propagation length of signal through vegetation. The HV backscatter has shown high sensitivity towards AGB with r and RMSE of 0.7 and 38.84 t/ha respectively in area faces towards the sensor, whereas poor sensitivity with 0.61 and 45.58 t/ha respectively in shadowed areas. The analysis showed that the model generated without considering the slope aspect may lead to overestimation in the areas facing towards the sensor and underestimation in shadowed areas.

[1]  Jakob J. van Zyl,et al.  The effect of topography on radar scattering from vegetated areas , 1992, IEEE Trans. Geosci. Remote. Sens..

[2]  Guoqing Sun,et al.  Retrieval of Forest Biomass From ALOS PALSAR Data Using a Lookup Table Method , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[3]  Yrjö Rauste,et al.  Incidence-angle dependence in forested and non-forested areas in Seasat SAR data , 1990 .

[4]  Choen Kim.  QUANTATAIVE ANALYSIS OF RELATIONSHIP BETWEEN ALOS PALSAR BACKSCATTER AND FOREST STAND VOLUME , 2012 .

[5]  Masanobu Shimada,et al.  PALSAR Radiometric and Geometric Calibration , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[6]  D. Lu.  The potential and challenge of remote sensing‐based biomass estimation , 2006 .

[7]  Craig A. Coburn,et al.  Estimating aboveground forest biomass from canopy reflectance model inversion in mountainous terrain , 2010 .

[8]  Y. Yamagata,et al.  The use of ALOS/PALSAR backscatter to estimate above-ground forest biomass: A case study in Western Siberia , 2013 .

[9]  J. Carreiras,et al.  Understanding the relationship between aboveground biomass and ALOS PALSAR data in the forests of Guinea-Bissau (West Africa) , 2012 .

[10]  Mehrez Zribi,et al.  Evaluation of ALOS/PALSAR L-Band Data for the Estimation of Eucalyptus Plantations Aboveground Biomass in Brazil , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[11]  Hari Shanker Srivastava,et al.  GROUND TRUTH PLANNING FOR SYNTHETIC APERTURE RADAR (SAR): ADDRESSING VARIOUS CHALLENGES USING STATISTICAL APPROACH , 2013 .

[12]  I. Woodhouse,et al.  Using satellite radar backscatter to predict above‐ground woody biomass: A consistent relationship across four different African landscapes , 2009 .

[13]  Brendan Mackey,et al.  Estimating forest biomass using satellite radar: an exploratory study in a temperate Australian Eucalyptus forest , 2003 .

[14]  F. Henderson,et al.  Principles and applications of imaging radar. Manual of remote sensing, third edition, volume 2. , 1998 .

[15]  Thuy Le Toan,et al.  Relating Radar Remote Sensing of Biomass to Modelling of Forest Carbon Budgets , 2004 .

[16]  F. Henderson,et al.  Principles and Applications of Imaging Radar , 1998 .

[17]  Lijuan Liu,et al.  A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems , 2016, Int. J. Digit. Earth.

[18]  Hari Shanker Srivastava,et al.  STUDY OF HYBRID POLARIMETRIC PARAMETERS GENERATED FROM RISAT-1 SAR DATA FOR VARIOUS LAND COVER TARGETS , 2015 .

[19]  Rasmus Fensholt,et al.  L-Band SAR Backscatter Related to Forest Cover, Height and Aboveground Biomass at Multiple Spatial Scales across Denmark , 2015, Remote. Sens..

[20]  Guoqing Sun,et al.  Radiometric slope correction for forest biomass estimation from SAR data in the Western Sayani Mountains, Siberia , 2002 .

[21]  Guoqing Sun,et al.  Mapping biomass of a northern forest using multifrequency SAR data , 1994, IEEE Trans. Geosci. Remote. Sens..

[22]  M. Lefsky,et al.  Mapping tropical forest biomass with radar and spaceborne LiDAR in Lopé National Park, Gabon: Overcoming problems of high biomass and persistent cloud , 2012 .

[23]  Patrick Hostert,et al.  Evaluating the Remote Sensing and Inventory-Based Estimation of Biomass in the Western Carpathians , 2011, Remote. Sens..

[24]  T. Dawson,et al.  Synthesis of remote sensing approaches for forest carbon estimation: reporting to the Kyoto Protocol , 2005 .

[25]  Emanuele Santi,et al.  Combining L and X band SAR data for estimating biomass and soil moisture of agricultural fields , 2012 .

[26]  Adrian J. Luckman.  The effects of topography on mechanisms of radar backscatter from coniferous forest and upland pasture , 1998, IEEE Trans. Geosci. Remote. Sens..

[27]  J. R. Jensen.  Remote Sensing of the Environment: An Earth Resource Perspective , 2000 .

[28]  F. Rocca,et al.  The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle , 2011 .