Landsat TM & SPOT 5 Foliage Projective Cover (FPC) Products

Reef projection coverage (FPC) is a measure of the vegetation density expressed as the proportion of the ground covered by photosynthesis of excess vegetation (Scarth, Armston and Danaher 2008). Since changes in FPC may indicate the logging of the land, Queensland Province is required to provide state-wide land covering and tree research (to provide quantitative data for assessing relevant greenhouse gas emissions SLATS) SLATS initially used the Landsat TM image to predict FPC in Queensland state and New South Wales state, but recently it adopted the SPOT 5 image (Flood et al.

It is also used for extraction of research fields. In order to make the image available, it is necessary to convert the data into a uniform ground coordinate system of the selected map projection. One of the images, LANDSAT ™ image - 1997 geometry correction is the BTM (Bangladesh Horizontal Macerator) projection method. Another LANDSATTM image-1990 and LANDSATTM image-2007 have been corrected with reference to this image. ERDAS IMAGINE software is used for geometric correction. We selected many ground reference points (GCP) such as ponds, highway - crossing river, using Upazila, topographical map (scale 1: 50 000) and reference image and selected the corresponding points in the source image . At least 11 GCPs are listed in polynomial order

Landsat images without a one-to-many time cloud were chosen to classify survey areas; in 1987 and 2002, the images of 1987 were Landsat 5 TM and another Landsat 7 ETM +. These images were downloaded from different layers of the GLCF website and are overlaid together using ERDAS Imagery 2. Subsets are collected and image enhancement is applied using a histogram to more equally balance the visualization functions. The image is a geographic reference to a general lateral mercator (WGS 84 - zone 32), after which a common geographical link window covering the same geographic coordinates is extracted from each image.

FCC (fake color synthesis) images of onsite Landsat TM - 1990 and 2007 were used for visual interpretation. The visual interpretation of land use is mainly done by the characteristics of the image. With the aid of visual interpretation, the key to interpretation was developed (Table 1). With the help of existing maps and excursions, the insertion was done with imagination. The image of the surveyed site is posted on the Everest Projection of the Lambert Conical System. I created a map from a geometrically corrected image (Figures 4 and 5). The main land use of Nandigram Upazila is the current fallow land, residence, existing agriculture, irrigation water, watershed. After the measurement area, the area obtained from the image coincides with the area obtained from the document. Measurement error is 0.03%