Download Forest Resources Management

Space based systems
for
Forest Resources Management
- Indian Experience
Presentation by
Indian Delegation
49th Session of UN- COPUOS, June 2006
Indian Forests - Significance
ECOLOGICAL AND ECONOMIC IMPORTANCE
• Forests cover 67.8 Mha (20.64 %)
• Constitutes 47,000 plants
• Non timber forest products of US $ 200 M
• 1000 MT of timber products
• Meets 70 % green fodder requirements
Evergreen Forest canopy
Fruit of Myristica dactyloides
ANTHROPOGENIC PRESSURES
Shifting cultivation
Grazing
• 2.5 Mha Shifting cultivation affected areas
• US $ 10 M loss due to annual fires
• 16 % of the species - threatened category
• 3100 Large open cast mines
CARTOSAT
IRS series of Satellites
2.5 m
• Provides multiresolution capability
• Effectively adopted in several National
and Local initiatives
LISS IV MX
5.6 m
LISS III
23.5 m
AWiFS
56 m
Enhanced spatial resolution enables
delineation of species formations
and individual trees
Progression of Remote Sensing applications in Forestry
IRS LISS IV /
Cartosat
Information Systems
Process Models
Progression of activities
IRS LISS III /
AWiFS
IRS LISS I / LISS II
Fire detection
Tree Outside forests
Growth Models
Species prediction
Landsat TM
Biodiversity studies
Management plans
Landsat
MSS
Mapping
1985
Monitoring &
Change
Assessments
1990
Quantitative
Assessments
1995
2000
2005
Institutional mechanisms and implementation
Department of Space
Academicia
National Institutes
Govt. of India Ministries
PC - NNRMS
State Forest Departments
Standing Committee
Bioresources
MoENF
State Forest Departments
State RS Centers
University
R&D Institutions
Op
er
at
io
ns
National Institutes
Department of Space
R
&
D
Policy
Smart
Governance
Sustainable
Development
National Forest Cover Assessment
9 National Forest cover assessment done on biannual basis, since two decades
9 State of Forest cover Report (SFR) placed in Indian Parliament
25
Forest Cover of India
Closed forest cover
Total forest cover
21.6
(State of the Forest Report , 2003)
19.47
19.52
Legend
F or e st a r ea in p er c e n t
Source : Forest Survey of India
Based on IRS LISS III data of 2002
19.44
20
15
19.47
20.55
19.27
19.45
19.39
14.12
12.68
10.88
11.51
11.72
11.71
11.73
11.17
11.48
10
Very Dense Forest (>70 %)*
Moderately dense forest(40 % - 70 %)
5
Open Forest(10 % - 40 %)
Scrub
Nonforest
Waterbodies
State boundaries
*% Crown density in parenthesis
0
197275*
198183*
198587**
198789**
198991**
199395**
199597**
199799**
Year
Since 1997-98 cycle mapping carried out on
1:50,000 scale
9 Forest cover assessed in terms of Very Dense (> 70%), Moderately Dense (40 -70 %) and
Open (10-40%) crown density classes using digital approaches
9 Forest Survey of India carries out the task with the technical know-how transferred in 1986
by Dept.Of Space
20012004
Biodiversity Characterization at Landscape Level
9 India is one of the 18 mega biodiversity zones of
world
9 50 Mha (80 %) forests were characterized for intact
and critical habitats of biodiversity
9 Vegetation
type,
fragmentation,
species
abundance, disturbance, ecosystem uniqueness
data integrated in geospatial domain to derive
index of Biological Richness
9 10 spatial layers, 12,000 plots field data of 6000
species data organized in web based ‘Biodiversity
Information System’ facilitating query and analysis
Community Forest Management
9 226 million rural population depend on forests for food,fuel,fodder
9 Sustainable resources extraction has become critical and a new paradigm “Joint Forest Management”
with rural participation has evolved covering 25 M ha forests.
9 Forest micro plans prepared using high resolution satellite and ground data
9 Joint Forest Management activities are monitored and evaluated using Remote sensing data
Protected Area Management
9 Around 500 wildlife sanctuaries, 90 National Parks constitutes 15.6 Mha of the forests
9 These areas possess highly diverse flora, fauna and unique ecological habitats
Vegetation type map of
Kudremukh National Park
(3D view)
Management Plan
Map
9 National Mission to generate spatial databases on vegetation type (1:25,000) and large mammal density
distribution launched for all protected areas
9 Inputs for wildlife management plans addressing vegetation type, habitat maps, water holes, management
zonation prepared
Indian Forest Fire Response and Assessment System
inffras
9 55% of Indian Forests are prone to recurrent fires annually. Rs 440 crores is the reported economic
loss due to fire.
9 As part of Disaster Support Center of NRSA, services on Fire management are provided using
multiresolution, multitemporal satellite data
inffras Website hosted by NRSA
9 Active forest fire locations for the entire country on daily basis to facilitate fire control operations
using MODIS and DMSP data
9 Damage assessment inputs in terms of burnt area on near real time basis for critically damaged
areas.
9 Indian Forest Fire Response and Assessment System (
provide these services through NRSA web site.
inffras
) is operationally started to
Use of Remote sensing and GIS is advocated and mandated
by several policy guidelines for planning and operational
initiatives
9 Policy & regulatory frame works
¾
National Forest policy (1988)
¾
National Environment Protection Act (1986)
¾
Wildlife Protection Act (1972)
¾
National Forest Working Plan Code (2003)
9 Forest Protection and Development through rural participatory approaches
9 Reliable resources accounting, monitoring and evaluation practiced
9 Use of Remote Sensing and GIS is advocated and mandated by several policy
guidelines for planning and operational initiatives
THRUST AREAS
9 Optimized spatially explicit inventories of biomass/growing stock
9 Community characterization/NTFP assessment strategies
9 Trees Outside Forests assessment
9 Hotspot Monitoring and Evaluation
9 Large scale mapping for critical forest administrative units (1:10000)
9 Long term monitoring sites for process understanding and upscaling
9 National/Regional forest resource information system
Sustainable forest management
Expertise,
Improved
Measurements
and Models
Advanced new
sensors
and
processing
Ov
ll
a
r
e
ic
f
i
nt
e
i
Sc
P
Habitability of the
species
ss
e
r
rog
Enhanced
Prediction
Models
Improved characterisation
and monitoring
Improved
Resource
Management
Quality of Life