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IAPRS & SIS, Vol.34, Part 7, "Resource and Environmental Monitoring", Hyderabad, India, 2002
for states of Nagaland, Andhra Pradesh, Karnataka, Mizoram,
Haryana, Arunachal Pradesh and regions like West Coast,
Upper Barak etc. In North Eastern states of India the multi date
analysis helped to analyse the extent of Shifting Cultivation
area and the pattern of changes. This helped to protect the
reserve forest land in these tribal states. The regional analysis
in Upper Barak helped in the management of saline and
ravenous areas. Haryana land use / land cover information in
conjunction with soil maps were used for command area
development and exploration of ground water from paleo
channels for agricultural development.
2.0 LAND USE / LAND COVER
Land use referred to as man's activities and the various use
which are carried on Land. Land cover is referred to as “natural
vegetation, waterbodies, rock / soil, artificial cover and others
resulting due to land transformation". Since both land use /
land cover are closely related and are not mutually exclusive
they are interchangeable as the former is inferred based on the
land cover and on the contextual evidence.
2.1 Land Use / Land Cover Classification System
With the changing times and increasing demand on the
availability of information on land use / land cover, it becomes
necessary to have a standard classification system, precise
definition of land use / land cover and its categories, uniform
procedures of data collection and mapping on different scales
for all the States and Union Territories.
Realising the need for an upto date nationwide land use / land cover
maps by several departments in the country, as a prelude, a land use
/ land cover classification system (with 24 categories upto Level-II,
suitable for mapping on 1:250,000 scale) was developed by NRSA,
DOS, taking into consideration the existing land use classification
adopted by NATMO, CAZRI, Ministry of Agriculture, Revenue
Department, AIS & LUS etc., and the details obtainable from
satellite imagery. The classification system provided the
conceptual frame-work for discussions with nearly 40 user
departments / institutions in the country and finalize acceptable 22
fold classification system which was adopted for Nationwide Land
Use / Land Cover Analysis as shown below
LAND USE/LAND COVER CLASSIFICATION SYSTEM
4. Wastelands
1. Built-up .
1.1 Built-upland 4.1 Salt Affected Land
4.2 Waterlogged Land
4.3 Marshy/Swampy Land
2.1 Cropland 4.4 Gullied/Ravinous Land
Kharif 4.5 Land With/Without Scrub
4.6 Sandy (Coastal & Desert)
2. Agricultural Land
Rabi
Kharif * Rabi 4.7 Barren Rocky/Stony
Waste/Sheet Rock Area
Fallow
; 5. Water Body «
Plantation FA
5.1 River/Stream d
3. Forest is 1
5.2 Lake/Tank/Reservoir ug —-
3.1 Evergreen/
Semi-evergreen 6. Others
3.2 Deciduous 6.1 Shifting Cultivation
3.3 Degraded or 6.2 Grassland/Grazing land
Scrubland
6.3 Snow Covered/
Glacial Area
34 Forest Blank
3.5 Forest Plantation
3.6 Mangrove
3.0 NATIONWIDE LAND USE / COVER ANALYSIS
FOR AGRO-CLIMATIC ZONE PLANNING
At the request of Planning Commission of India district-wise
land use / land cover analysis of all the 15 agro-climatic zones,
using the 22 fold land use / land cover classification system was
539
competed using 1988 — 89 satellite data sets. Indian Remote
Sensing (IRS) Linear Imaging Self Scanner (LISS-I) data of
kharif (July-October) 1988 and Rabi (November- March) 1989
data were used to analyse and to generate composite land use /
cover information on 1:250,000 scale (fig. 1). The need for this
is to know the actual agricultural cropped area in two different
seasons and the area left fallow (without crop) separately to
enable planning for increasing the agricultural production.
Figure 1
LAND USE / LAND COVER MAPPING
(SCALE :1:250,000)
m
7 Era 7% CLASSIFIED MAP
‘ : 4 2
ll KHARIF ONLY
EH] RABI ONLY
[7] DOUBLE CROP
B RESIDUAL FALLOW
Bl WATER LOGGING
[7] GRASSLAND
3.1 Land Use / Land Cover Analysis
The multi-date satellite data was analysed to identify and map
the details of crop land in kharif and rabi seasons, the area
under double crop (during kharif and rabi seasons), fallow
lands, different types of forest, degradation status, wasteland,
waterbodies etc. NRSA with the help of Regional Remote
Sensing Service Centres (RRSSC's), State Remote Sensing
Centres and other institutions completed this task using hybrid
methodology i.e., visual as well as digital methods. Out of 442
districts in the country, 274 districts are analyzed using visual
techniques and remaining 168 districts by digital techniques.
For digital analysis considering the project requirements
different software modules were developed and integrated to
the commercially available image analysis software. The
sequence of steps followed to generate the district-wise
composite land use / land cover maps using multi-date data is
shown in figure 2.
3.2 Land Use / Land Cover Distribution in India
District-wise land use / land cover statistics generated using
remote sensing techniques were compiled and tabulated to
obtain state-wise and country statistics for the year 1988 — 89
(Tables 1 to 4).
It is seen from the area under broad (level-I) land use / land
cover, the total agriculture land area constituted 165.24 million
hectares (mha) or 50.26 per cent; wastelands 75.53 mha or
22.98 per cent (including area under degraded forest and forest
blanks which accounted for 18.08 mha or 5.50 per cent); forest
47.62