IAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring", Hyderabad, India, 2002
Fig. 3 : Classified Image of Siyana block
The separability analysis was carried out using confusion matrix
technique. The result of this study was used to refine the training
areas and finally selected the major classes, which show good
homogeneity. The overall classification accuracy obtained from
confusion matrix is 90.58%, whereas classification accuracy
obtained for mango orchards is 88.58%. The confusion matrix
(Table-2) results show that well developed mango orchards are
clearly separable from other landuse classes but were mixing with
aquatic weeds alongwith canal. The young mango orchards were
less separable from field crops, because the intercropping in the
new orchards. Therefore, the classification accuracy of young
mango orchards is 86.06%.
Name Old New Crop Fallow Settle- Water | Total Accuracy
mango mango ment body %
Old 426 26 0 0 0 16 468 91.1
mango
Young 9 142 14 0 0 0 165 86.06
mango
Crop 0 10 136 0 0 0 146 93.15
Fallow 0 0 0 236 18 1 255 92.55
Settle- 0 0 5 18 178 0 201 88.56
ment
Water 5 0 0 0 0 55 60 91.67
body
Total 440 178 155 254 196 72 1295 90.58
Table 2: Confusion Matrix showing classification accuracy of
mango and other classes.
Karauthc 33.08
Thal Inayatpur 91.01
Ravani Katiri Khadar 69.08
Ravani Katiri Bangar 285.46
Shanpur 86.81
Bugrasi, T.A. 400.76
Dhaniawali 86.81
Kirywali 118.79
Ranapur 144.25
Chandpur Poothi 40.15
Mahav 25.18
Hankri 338.86
Chfingraothi Baruli 34.46
Khand Mohan Nagar 18
Bigraun 78.85
Dehra 6.9
Barahna 189.37
Mahmuddinpur Buklana 197.81
Bhagwanpur Alias Harwanpur 3:15
Sega Jagatpur 13.7
Badshapur Garhia 4.03
Bankapur Pali Alias Bahrampur 0.06
Barauli Basdeopur 64.28
Table-3: Village- wise Mango Area
5.2 Soil Suitability Assessment:
The soil suitability of mango was assessed on the basis of land
qualities of soil mapping unit. The land qualities of soils, which
were used for mango suitability evaluation, are given in Table-4.
The details of the composition and the taxonomy of various soil
units are presented in Table-5 and shown in Fig. 4. The criteria
for soil suitability of mango are given in Table-6. The criteria for
rating land qualities into various suitability classes for mango
orchard are presented in Table-7.
Name of | Surfac Sub- Soil Drainage Slope | Erosion
5.1 Village-wise Mango orchard estimation: soil series | € surface | Depth
texture texture
Village-wise mango orchard acreage estimation has been carried Kalkothi | Sand Sand S Well 1% Slight
: . : io ; ; eep
out using GIS technique. Village-wise mango area is given Mohammad Sandv. A Sandy Les Well 13% | Slight
Table-3. adpur loam loam deep
Anupshah | Sand Sand Deep Excessive 3-5% | Very
Village Name Area (in ha) f didi Severe
Bihta * 123.98 Siyana Sandy | Sandy | Very | Moderately | 1% | Nil
Werafirozpur 302.52 loam ey deep well
oam
Ghansurpur 147.28 Rampur Sandy | Sandy | Very Moderately | 196 Slight
Bhainsora 97.31 loam clay deep well
loam
Longa 38.11 Mankari Loamy | Sandy Very Moderately 196 Slight
Nancholi 38.27 sand loam deep well
Badoha Bazirpur 87.59 Shikarpur | Sandy Clay Very Moderately 1% Slight
: Ip - clay loam deep well
| Siyana Rural 579.92 loam
{1 Kisola 103.93 Uttarawati | Sandy Sandy Deep Imperfect 1-3% | Moderate
| - loam clay to very
Hazipur 173.35
Jalalpur 250.45
Sulaita 202.40
MET d
Table
class