Forest Degradation Mapping Using Advanced Spatial …...© IORA Ecological Solutions Pvt. Ltd....
Transcript of Forest Degradation Mapping Using Advanced Spatial …...© IORA Ecological Solutions Pvt. Ltd....
Swapan Mehra, CEO
IORA Ecological Solutions
Forest Degradation Mapping Using Advanced
Spatial Techniques
Atri Shaw
© IORA Ecological Solutions Pvt. Ltd. 2016-17
Standard Approaches
Delineate Forest Strata
• Forest type
• Degraded vs non-degraded
• Other biophysical, geographic, administrative attributes
Mean Biomass or (C) Value
• IPCC Tier 1 values – biome type and region
• National Tier 2 values (reports, general allometric equations)
• Tier 3 values from plot inventory data and local allometric equations)
“Paint-by-numbers” mapping
• Mean biomass or carbon value in units per hectare for each strata multiplied by area of each specific strata
• Map strata with mean value or total value as choropleth map
© IORA Ecological Solutions Pvt. Ltd. 2016-17
Forest Degradation Mapping using Fractional Cover Downscaling
• Fractional cover refers to estimating the proportion of an area that is covered by each member of a predefined set vegetation or land cover types. In our case we are interested in forest cover only.
• For mapping fractional cover, the proportions of the different classes should sum to one.
For Ex- 0.5 (Forestland)+0.3(Cropland)+0.2(Wetland)=1
• In terms of remote sensing, the area being considered is generally a pixel, the estimation of fractional cover is considered a type of "spectral un-mixing" or sub-pixel classification
fC= 80% fC= 50% fC= 35% fC= 15%
Satellite pixel
Forest Cover/Status
2001 2006 2009 2014
Forest Degradation
© IORA Ecological Solutions Pvt. Ltd. 2016-17
Modelling Approach
Different vegetation indexes like NDVI (Normalized Difference Vegetation Index), Modified Soil-Adjusted
Vegetation Index (MSAVI), Enhanced Vegetation Index (EVI) etc. are used for Fractional Cover development.
The expression of vegetation indexes shown below:-
NDVI =𝑁𝐼𝑅 −𝑅𝐸𝐷
𝑁𝐼𝑅+𝑅𝐸𝐷
MSAVI =2∗𝑁𝐼𝑅+1− 2∗𝑁𝐼𝑅+1 2−8∗(𝑁𝐼𝑅−𝑅𝐸𝐷)
2
All these indices use the ratio of red (R) and near infrared (IR) bands from a remotely-sensed (optical images) to
define a index of vegetation “greenness”.
Fractional cover is a continuous field value represent greenness of vegetation. But the applicability of fractional
cover in REDD projects to map forest degradation, required the stratification of forest cover(forest/non-forest)
and forest types by project proponent.
Where:
fC = green fractional percentage,
VI = vegetation index value,
VI canopy= vegetation index value of the tree green canopy, and
VI open = vegetation index value of senescent open areas.
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Satellite to fC Development using Vegetation Indices
Masking of non forest areas using Forest Cover Map
© IORA Ecological Solutions Pvt. Ltd. 2016-17
Tier 2 Carbon Mapping Model
Tier 2 Carbon Mapping Model
Forest carbon mapping relies on the association of fC mapping with forest biophysical attributes
such as forest canopy openness and biomass. Higher fC values are forest areas of higher biomass
(carbon) and lower fC values are forest areas with lower biomass (carbon).
Fractional Cover(fC)
data
Stratification data
Mean carbon stock values for
each strata/forest types
Mean carbon stock values in
homogenous forest
No Forest type stratification
Fractional Cover(fC)
data
National/State
Forest
Monitoring
Institution
Carbon Map
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Tier 3 Carbon Mapping Model
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© IORA Ecological Solutions Pvt. Ltd. 2016-17
Thank You
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