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4 - Central Institute of Brackishwater Aquaculture

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National workshop-cum-Training on Biointonnatia and Infomation Management in <strong>Aquaculture</strong><br />

The Normalized Difference Vegetation Index (NDVI) being a potential indicator<br />

for crop growth and vigour was used in study. The mathematical expression for<br />

NDVI is given as<br />

(NIR - Red)<br />

NDVI =<br />

(NIR + Red)<br />

Based temporal NDVI pr<strong>of</strong>ile derived from images <strong>of</strong> different dates different<br />

crops and their spatial distribution was computed using ground truth data<br />

collected using GPS (Fig 8). It was found that out <strong>of</strong> about 2.27 lakh ha <strong>of</strong> study<br />

area, various agricultural crops cover 59 per cent. The wheat crop was found to<br />

be dominating one (20%) followed by maize (12 %) and lentil and chick pea (10<br />

O/O). In wheat growing areas, about 2, 12 and 6 percent area was occupied by<br />

early, timely and late sown wheat respectively. Similarly, in maize crop, 8 and 4<br />

percent was in early and late sown categories respectively. Winter maize and<br />

wheat is grown majorly in flood plains close to river bank (locally known as diara<br />

land), pulses are common in low lying areas called tal lands. Arhar crop sown<br />

during May/June if not damaged by flood remains in the field upto late March<br />

/early April. Other 41 per cent includes built up area, orchardslplantation areas,<br />

barren lands, river, water bodies etc. Digitized map <strong>of</strong> Bhagalpur with village<br />

boundaries was also overlaid to retrieve the information about late planted crops<br />

and fallow lands for possible interventions.<br />

Figure 8 Spatial distribution <strong>of</strong> crops grown (rabi,1999-2000)<br />

village boundaries <strong>of</strong> Bhagalpur district, Bihar<br />

overlaid with<br />

4.1.3 Addressing the seasonal dynamism <strong>of</strong> agricultural system<br />

Dynamism <strong>of</strong> crops over an agricultural calendar can be captured from 10 days<br />

maximum value composite satellite data products like NDVI images <strong>of</strong> SPOT-4<br />

vegetation sensor. NDVI data from a satellite sensor is primarily related to<br />

vegetation changes and follows annual cycle <strong>of</strong> growth and decline. Thirty six<br />

NDVI images <strong>of</strong> 10 days composite for the agricultural calendar year June 1999-<br />

May 2000 were stacked together to derive temporal NDVI pr<strong>of</strong>ile. Clouds and

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