Full text: ISPRS 4 Symposium

444 
monitoring techniques* This need is particularly 
important in developing Countries where often resources 
data must be developed abi-nitio. 
Indore district in the State of Madhya Pradesh is 
located between the latitudes* 75° 25' N - 76° 25' N 
and longitudes* 22° 20* E - 23° 05' E* It comprises an 
area 3840 sq. km. and has total number of 654 villages. 
It is subdivided into four Teshils, namely Indore (157 
Villages), Depalpur (175 Villages), Mhow (175 Villages) 
Sanwex’ (147 Villages)* The district has population of 
about 14 lakhs, has population density 364 per sq* km. 
The rural population is about 4 lakhs* It is mostly 
a black cotton soil regime* 
The prime objective of our paper is to highlight the 
need for as integrated land resources inventory* Remote 
sensing is a most modern tool, for preparing such inven 
tory f for the management of earth resources* Space 
observations provide global coverage at much lower data 
aquisition cost and provide high repeatability to 
monitor dynamic changes, occuring on the surface of 
earth* Higher altitude aircraft photography contain the 
most detailed information record of hyper-altitude 
remote sensing data resources* 
DATA ACQUISITION AND ANALYSIS 
On the basis of the legend prepared for the key, with 
symbols given for various diffrentiating features, 
the information was collected by actual field to field 
traverse by ground truth survey parties. Each field 
was located on the basis of revenue records* 
The aerial photography of the part of the test area from 
a height of 2500 met. was done. The frame size of the 
panchromatic B & W transparencies is 55 mm x 55 mm. The 
average scale is 1»60,000* 
Landsat-2 frame in band 5 (0*5 M - 0*6 u) and band 7 
(0.8 ju - 1.1 u) are selected for images which* 
(a) are cloud free, 
(b) are obtained during growing season (Jan* 
& Feb.)* At this time of year the max 
imum number of desired land use classes 
would be spectrally separable* 
The landsat frame is studied by keys of photo inter 
pretation and land inventory is prepared as shown Fig.1. 
Besides this, the multiband imagery of landsat-2 in band 
5 and band 7 is studied using I 2 s-Addcol Viewer* The 
integrated land resources inventory is shown in Fig.2* 
The results match favourably well when compared with the 
ground truth data* 
The four major classes are shown in table-I of habita 
tion, agriculture land, forest and water body*
	        
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