International Journal of Remote Sensing High-resolution Satellite Remote Sensing: a New Frontier for Biodiversity Exploration in Indian Himalayan Forests High-resolution Satellite Remote Sensing: a New Frontier for Biodiversity Exploration in Indian Himalayan Forests

Satellite imagery with fine spectral and spatial resolution and high temporal resolution provides a unique opportunity to map and monitor biodiversity. The aim of this article is (i) to review the state of the use of high-resolution remote sensing for ecological studies in the Indian Himalayan Region (IHR) and (ii) to suggest further potential avenues of research in the region using this technology. It has been recognized that the recent improvements in remote sensing have enabled researchers to categorize and spatially map species and communities and to detect vegetation types based on ecological gradients and environmental drivers. Across the globe, the use of current high-resolution imagery in vegetation studies is increasing due to their improved efficiency, as fine-scale vegetation information is needed for both theoretical understanding of the processes involved and conservation towards the maintenance of ecological functions of natural ecosystems. Remote sensing is particularly useful in the IHR, where field-based mapping of forest vegetation and land cover using conventional techniques is a cost- and time-intensive effort. Mapping fine-scale patterns of tree species using high-resolution remote-sensing data has important implications for the understanding and monitoring of ecosystem function and biodiversity patterns in forests.

[1]  B. Bajracharya,et al.  Geoinformatics for landscape ecology and biodiversity research. , 2012 .

[2]  G. Bohrer,et al.  Estimating plot-level tree structure in a deciduous forest by combining allometric equations, spatial wavelet analysis and airborne LiDAR , 2012 .

[3]  P. S. Roy,et al.  GEOSPATIAL CHARACTERIZATION OF BIODIVERSITY: NEED AND CHALLENGES , 2012 .

[4]  Rupesh R. Bharti,et al.  Assessing vegetation changes in timberline ecotone of Nanda Devi National Park, Uttarakhand , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[5]  D. Richardson,et al.  Native and naturalized range size in Pinus: relative importance of biogeography, introduction effort and species traits , 2012 .

[6]  M. Eismann Hyperspectral Remote Sensing , 2012 .

[7]  Sandra Eckert,et al.  Improved Forest Biomass and Carbon Estimations Using Texture Measures from WorldView-2 Satellite Data , 2012, Remote. Sens..

[8]  Ş. Procheş,et al.  The World's Zoogeographical Regions Confirmed by Cross-Taxon Analyses , 2012 .

[9]  Ashwani Kumar Thukral,et al.  Ecological Characterization of High Altitude Himalayan Landscapes in the Upper Satluj River Watershed, Kinnaur, Himachal Pradesh, India , 2012, Journal of the Indian Society of Remote Sensing.

[10]  A. Chawla,et al.  Characterization of Solang valley watershed in western Himalaya for bio-resource conservation using remote sensing techniques , 2011, Environmental monitoring and assessment.

[11]  M. Neteler,et al.  Benefits of hyperspectral remote sensing for tracking plant invasions , 2011 .

[12]  L. Mucina,et al.  Landscape age and soil fertility, climatic stability, and fire regime predictability: beyond the OCBIL framework , 2011, Plant and Soil.

[13]  Sarnam Singh,et al.  Impact of Pastoral Practices on Forest Cover and Regeneration in the Outer Fringes of Kedarnath Wildlife Sanctuary, Western Himalaya , 2011 .

[14]  G. Rawat,et al.  Timberline change detection using topographic map and satellite imagery: a critique. , 2011 .

[15]  Giles M. Foody,et al.  An overview of recent remote sensing and GIS based research in ecological informatics , 2011, Ecol. Informatics.

[16]  K. P. Sharma,et al.  Geospatial multiple logistic regression approach for habitat characterization of scarce plant population: A case study of Pittosporum eriocarpum Royle (an endemic species of Uttarakhand, India) , 2010 .

[17]  Chandra Shekhar Jha,et al.  Application of landscape ecology and remote sensing for assessment, monitoring and conservation of biodiversity , 2010 .

[18]  P. Roy,et al.  Assessment and validation of biological richness at Landscape Level in part of the Himalayas and Indo-Burma Hotspots using geospatial modeling approach , 2010 .

[19]  M. D. Behera Influences of fragmentation on plant diversity: An observation in eastern Himalayan tropical forest , 2010 .

[20]  Aniruddha Ghosh,et al.  Landscape characterisation of the forests of Himalayan foothills , 2010 .

[21]  Kai Wang,et al.  Remote Sensing of Ecology, Biodiversity and Conservation: A Review from the Perspective of Remote Sensing Specialists , 2010, Sensors.

[22]  Markus Neteler,et al.  Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges , 2010, Ecol. Informatics.

[23]  Xuezhi Feng,et al.  Object-oriented method for urban vegetation mapping using IKONOS imagery , 2010 .

[24]  Vinay Kumar Dadhwal,et al.  Remote sensing to map the invasive weed, Lantana camara in forests , 2010 .

[25]  Anupam Agrawal,et al.  Use of high-resolution IKONOS data and GIS technique for transformation of landuse/landcover for sustainable development. , 2010 .

[26]  S. Kushwaha,et al.  Timberline change detection using topographic map and satellite imagery , 2010 .

[27]  Thomas Blaschke,et al.  Object based image analysis for remote sensing , 2010 .

[28]  K. C. Krishna Bahadur,et al.  Improving landsat and IRS image classification: evaluation of unsupervised and supervised classification through band ratios and DEM in a mountainous landscape in Nepal. , 2009 .

[29]  Valentyn Tolpekin,et al.  Discriminating the invasive species, ‘Lantana’ using vegetation indices , 2009 .

[30]  N. Lele,et al.  Analyzing deforestation rates, spatial forest cover changes and identifying critical areas of forest cover changes in North-East India during 1972–1999 , 2009, Environmental monitoring and assessment.

[31]  Stephen D. Hopper,et al.  OCBIL theory: towards an integrated understanding of the evolution, ecology and conservation of biodiversity on old, climatically buffered, infertile landscapes , 2009, Plant and Soil.

[32]  Gregory Asner,et al.  Applications of Remote Sensing to Alien Invasive Plant Studies , 2009, Sensors.

[33]  R. Cowling,et al.  Explaining the uniqueness of the Cape flora: incorporating geomorphic evolution as a factor for explaining its diversification. , 2009, Molecular phylogenetics and evolution.

[34]  Thierry Toutin,et al.  Fine Spatial Resolution Optical Sensors , 2009 .

[35]  Erle C. Ellis,et al.  Putting people in the map: anthropogenic biomes of the world , 2008 .

[36]  H. Nagendra,et al.  High resolution satellite imagery for tropical biodiversity studies: the devil is in the detail , 2008, Biodiversity and Conservation.

[37]  Joanne C. White,et al.  Multi-temporal analysis of high spatial resolution imagery for disturbance monitoring , 2008 .

[38]  Ramanathan Sugumaran,et al.  Seasonal Effect on Tree Species Classification in an Urban Environment Using Hyperspectral Data, LiDAR, and an Object-Oriented Approach , 2008, Sensors.

[39]  G. Foody,et al.  Measuring and modelling biodiversity from space , 2008 .

[40]  D. Stow,et al.  Monitoring shrubland habitat changes through object-based change identification with airborne multispectral imagery , 2008 .

[41]  Yichun Xie,et al.  Remote sensing imagery in vegetation mapping: a review , 2008 .

[42]  X. Jianchu,et al.  Land use / cover change and environmental vulnerability analysis in Birahi Ganga sub-watershed of the Garhwal Himalaya , India , 2008 .

[43]  D. Rocchini Effects of spatial and spectral resolution in estimating ecosystem α-diversity by satellite imagery , 2007 .

[44]  Lucas N Joppa,et al.  Satellites miss environmental priorities. , 2007, Trends in ecology & evolution.

[45]  Salit Kark,et al.  Predicting mountain plant richness and rarity from space using satellite‐derived vegetation indices , 2007 .

[46]  H. Kaechele,et al.  Conserving the Himalayan forests: approaches and implications of different conservation regimes , 2007, Biodiversity and Conservation.

[47]  S. Uniyal,et al.  Stratification of forest density and its validation by NDVI analysis in a part of western Himalaya, India using Remote sensing and GIS techniques , 2007 .

[48]  P. Roy,et al.  Forest fragmentation in the Himalaya: A Central Himalayan case study , 2007 .

[49]  Richard Grenyer,et al.  Preserving the evolutionary potential of floras in biodiversity hotspots , 2007, Nature.

[50]  Michael S. Wolosin,et al.  A virtual canopy generator (V-CaGe) for modelling complex heterogeneous forest canopies at high resolution , 2007 .

[51]  E. Somanathan,et al.  How degraded are Himalayan forests , 2006 .

[52]  R. Cowling,et al.  How much evolutionary history in a 10×10 m plot? , 2006, Proceedings of the Royal Society B: Biological Sciences.

[53]  B. Koch,et al.  Detection of individual tree crowns in airborne lidar data , 2006 .

[54]  J. Singh,et al.  Sustainable development of the Indian Himalayan region: linking ecological and economic concerns , 2006 .

[55]  P. Gessler,et al.  Automated estimation of individual conifer tree height and crown diameter via two-dimensional spatial wavelet analysis of lidar data , 2006 .

[56]  P. Roy Biodiversity assessment at landscape level , 2006 .

[57]  C. Joshi,et al.  Mapping cryptic invaders and invasibility of tropical forest ecosystems : Chromolaena odorata in Nepal , 2006 .

[58]  C. Vaiphasa Remote sensing techniques for mangrove mapping , 2006 .

[59]  Mathias Schardt,et al.  Single tree detection in very high resolution remote sensing data , 2007 .

[60]  P. Roy,et al.  Biodiversity Characterization in Nubra Valley, Ladakh with Special Reference to Plant Resource Conservation and Bioprospecting , 2006, Biodiversity & Conservation.

[61]  Sarnam Singh,et al.  Vegetation cover type mapping in mouling national park in Arunachal Pradesh, Eastern Himalayas- an integrated geospatial approach , 2005 .

[62]  Gopal S. Rawat,et al.  Land use/land cover identification in an alpine and arid region (Nubra Valley, Ladakh) using satellite remote sensing , 2005 .

[63]  Duccio Rocchini,et al.  Maximizing plant species inventory efficiency by means of remotely sensed spectral distances , 2005 .

[64]  Toshiharu Kojima,et al.  Forest type classification using data fusion of multispectral and panchromatic high-resolution satellite imageries , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[65]  K. S. Rao,et al.  Forest management and land use/cover changes in a typical micro watershed in the mid elevation zone of Central Himalaya, India. , 2005 .

[66]  P. Roy,et al.  Geospatial Modeling of Plant Richness in Barsey Rhododendron Sanctuary in Sikkim Himalayas , 2005 .

[67]  Mukunda Dev Behera,et al.  Assessment of biological richness in different altitudinal zones in the Eastern Himalayas, Arunachal Pradesh, India , 2005 .

[68]  M. Ehlers,et al.  COMBINED ANALYSIS OF HYPERSPECTRAL AND HIGH RESOLUTION IMAGE DATA IN AN OBJECT ORIENTED CLASSIFICATION APPROACH , 2005 .

[69]  P. K Varshney,et al.  Advanced image processing techniques for remotely sensed hyperspectral data : with 128 figures and 30 tables , 2004 .

[70]  Duccio Rocchini,et al.  Testing the spectral variation hypothesis by using satellite multispectral images , 2004 .

[71]  A. Bhatt,et al.  Vegetation pattern analysis in Rudraprayag district using remote sensing and GIS , 2004 .

[72]  S. Gairola,et al.  Land cover dynamics in Garhwal Himalayas — a case study of balkhila sub-watershed , 2004 .

[73]  N. Coops,et al.  High Spatial Resolution Remotely Sensed Data for Ecosystem Characterization , 2004 .

[74]  David B. Clark,et al.  APPLICATION OF 1-M AND 4-M RESOLUTION SATELLITE DATA TO ECOLOGICAL STUDIES OF TROPICAL RAIN FORESTS , 2004 .

[75]  Alexandre Carleer,et al.  Exploitation of Very High Resolution Satellite Data for Tree Species Identification , 2004 .

[76]  Gregory P. Asner,et al.  IKONOS imagery for the Large Scale Biosphere–Atmosphere Experiment in Amazonia (LBA) , 2003 .

[77]  J. Townshend,et al.  Global Percent Tree Cover at a Spatial Resolution of 500 Meters: First Results of the MODIS Vegetation Continuous Fields Algorithm , 2003 .

[78]  M. Fladeland,et al.  Remote sensing for biodiversity science and conservation , 2003 .

[79]  Sarnam Singh,et al.  Geospatial modelling techniques for rapid assessment of phytodiversity at landscape level in western Himalayas, Himachal Pradesh , 2003 .

[80]  C. B. S. Dutt,et al.  Geoinformatics for biodiversity assessment , 2003 .

[81]  Jennifer L. Dungan,et al.  A balanced view of scale in spatial statistical analysis , 2002 .

[82]  Susan L. Ustin,et al.  Hyperspectral remote sensing for invasive species detection and mapping , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[83]  S. Nautiyal,et al.  Patterns and Implications of Land Use/Cover Change , 2002 .

[84]  Darius S. Culvenor,et al.  TIDA: an algorithm for the delineation of tree crowns in high spatial resolution remotely sensed imagery , 2002 .

[85]  Wim Bakker,et al.  New environmental remote sensing systems , 2002 .

[86]  K. S. Rao,et al.  Land use dynamics and landscape change pattern in a typical micro watershed in the mid elevation zone of central Himalaya, India , 2001 .

[87]  J. Pitkänen Individual tree detection in digital aerial images by combining locally adaptive binarization and local maxima methods , 2001 .

[88]  Mary Ann Fajvan,et al.  A Comparison of Multispectral and Multitemporal Information in High Spatial Resolution Imagery for Classification of Individual Tree Species in a Temperate Hardwood Forest , 2001 .

[89]  R. Mittermeier,et al.  Biodiversity hotspots for conservation priorities , 2000, Nature.

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

[91]  Shalini Srivastava,et al.  Stratification and mapping of Taxus baccata L. bearing forests in Talle Valley using remote sensing and GIS. , 2000 .

[92]  Harini Nagendra,et al.  Satellite imagery as a tool for monitoring species diversity: an assessment , 1999 .

[93]  P. Mumby,et al.  The cost-effectiveness of remote sensing for tropical coastal resources assessment and management , 1999 .

[94]  Tim J. Malthus,et al.  High-spectral resolution data for monitoring Scots pine ( Pinus sylvestris L.) regeneration , 1998 .

[95]  R. Rawal,et al.  Sensitivity of Timberline Flora in Kumaun Himalaya, India: Conservation Implications , 1997 .

[96]  N. Myers,et al.  The biodiversity challenge: Expanded hot-spots analysis , 1990, The Environmentalist.