loading page

A GEO-SPATIAL APPROACH TO ASSESS TREE OUTSIDE FORESTS (TOF) IN HARYANA STATE, INDIA
  • +14
  • K.E. Kumar,
  • Ritesh Kumar,
  • Promila Bishnoi,
  • Vikas Sihag,
  • Ravikant Bishnoi,
  • Seema Rani,
  • Partibha Sindhu,
  • Sarika Budhwar,
  • Parmod Kalkal,
  • Shashikant Sharma,
  • Poonam Sharma,
  • Ritu Sharma,
  • Venkateshwar Pandey,
  • Meenakshi Dahiya,
  • V.S. Arya,
  • T.P. Singh,
  • Vinod Kumar
K.E. Kumar
Haryana Space Applications Centre
Author Profile
Ritesh Kumar
Haryana Space Applications Centre
Author Profile
Promila Bishnoi
Guru Jambheshwar University of Science & Technology
Author Profile
Vikas Sihag
Haryana Space Applications Centre
Author Profile
Ravikant Bishnoi
Haryana Space Applications Centre
Author Profile
Seema Rani
Haryana Space Applications Centre
Author Profile
Partibha Sindhu
Haryana Space Applications Centre
Author Profile
Sarika Budhwar
Haryana Space Applications Centre
Author Profile
Parmod Kalkal
Haryana Space Applications Centre
Author Profile
Shashikant Sharma
Haryana Space Applications Centre
Author Profile
Poonam Sharma
Haryana Space Applications Centre
Author Profile
Ritu Sharma
Haryana Space Applications Centre
Author Profile
Venkateshwar Pandey
Haryana Space Applications Centre
Author Profile
Meenakshi Dahiya
Haryana Space Applications Centre
Author Profile
V.S. Arya
Haryana Space Applications Centre
Author Profile
T.P. Singh
Government of Haryana
Author Profile
Vinod Kumar
Government of Haryana
Author Profile

Abstract

Mapping and monitoring the Trees outside Forests (ToF) is gaining significance in the scientific community as they provide critical ecosystem services such as protecting soil and water resources, wildlife habitat, energy efficiency etc. Also, quantifying ToF can provide useful information on emissions estimation in the Agriculture, Forests, and Other Land Use (AFOLU) category of the Intergovernmental Panel for Climate Change (IPCC). Despite the importance of quantifying ToF, very few studies have attempted to quantify them in India’s natural resource inventory programs. In this study, we focus on Haryana state, India, to map ToF using very high-resolution (VHR) Indian Remote Sensing (IRS) satellite data. Haryana’s landscape is highly interspersed with croplands and ToF, thus providing a challenging environment to test VHR satellite data’s ability to quantify the diversified landscape structure. We specifically used Cartosat-1 panchromatic (2.5m) and Multispectral LISS IV (5.8m) datasets to quantify the vegetation and build a much-needed database on ToF. We used a novel classification scheme based on the geometry, i.e., point, polygon, or polygon formations, to quantify ToF at 1:10,000 scale. Our results suggest ToF with the point, area, and linear block formations of about 2,774,531, 20.51, and 128.83 sq. km, respectively, accounting for ~3.38% of the total study area . Our study highlights the usefulness of VHR satellite data and fused imagery to quantify ToF in highly diverse landscapes, with the case study in Haryana State, India. The results will help address vital ecosystem services from ToF, including greenhouse gas emissions quantification from the AFOLU category.

Peer review status:ACCEPTED

18 Dec 2020Submitted to Land Degradation & Development
22 Dec 2020Submission Checks Completed
22 Dec 2020Assigned to Editor
27 Dec 2020Reviewer(s) Assigned
10 Jan 2021Review(s) Completed, Editorial Evaluation Pending
14 Jan 2021Editorial Decision: Revise Major
08 Feb 20211st Revision Received
08 Feb 2021Submission Checks Completed
08 Feb 2021Assigned to Editor
23 Feb 2021Review(s) Completed, Editorial Evaluation Pending
04 Mar 2021Editorial Decision: Revise Minor
05 Mar 20212nd Revision Received
05 Mar 2021Submission Checks Completed
05 Mar 2021Assigned to Editor
09 Mar 2021Review(s) Completed, Editorial Evaluation Pending
12 Mar 2021Editorial Decision: Accept