By S. Hazra, A. Mukhopadhyay, A. R. Ghosh, D. Mitra, V. K. Dadhwal
This booklet offers correct and modern learn at the distant sensing of landscapes, agriculture & forestry, geomorphology, coasts & oceans, traditional dangers and wild habitats. It highlights the applying of distant sensing in figuring out common approaches and oceanic positive aspects, in addition to in growing mapping inventories of water assets throughout varied spatial and temporal scales. contemporary advances in hyperspectral imaging and excessive spatial answer supply promising options for exploring a number of facets regarding the fruitful and budget friendly tracking of large-scale environments. within the box of forestry and agriculture, the booklet addresses themes akin to terrain research, wooded area administration, updating present wooded area inventories, and crops disguise style discrimination. It additionally elaborates delineation of varied geo-morphological good points of the earth’s floor and common failures, and contains a specific part at the distant sensing of untamed habitats. Readers operating in interdisciplinary sectors engaged in remote-sensing-based study enjoy the concepts presented.
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Extra resources for Environment and Earth Observation: Case Studies in India
These layers with speciﬁc attributes are selected and executed through the input module of LRDP tool (Fig. 3). The LRDP layer with or without the dissolve operation is generated and stored in a particular location. The path of the generated layers is displayed on the tool’s screen while the dissolved layer is shown in the map area of the tool (Fig. 3). The background process of the LRDP generation tool is depicted in Fig. 4. The tool checks the availability of the required attribute in a speciﬁc format for each layer, in the absence of which it generates a suitable message (Fig.
Slope map of the study area, categorised into eight classes as per Integrated Mission for Sustainable Development guidelines (IMSD 1995), was derived using DEM. Satellite images are ortho-rectiﬁed ﬁrst to remove effects of image perspective and relief. e. planimetrically correct image) enables accurate measurement of distances, angles and areas and was used as an input to produce drainage network. Strahler’s method was adopted for stream ordering as it is an important parameter in planning of artiﬁcial recharge structures (Strahler 1964).
Thus, it is difﬁcult to use the data from the Landsat ETM+ sensor for research and operational applications (Agam et al. 2007a). Though the recent thermal infrared sensor (TIRS) of the Landsat 8 satellite (since 11 Feb 2013) provides thermal images at a 100 m resolution, the temporal resolution is 16 days. Due to periodic cloud cover (Moran et al. 1996), it is difﬁcult to use this imagery for the routine monitoring of the environmental processes. Moreover, there is no new program and/or forthcoming launch which would focus on the polar orbiting Remote Sensing satellite system working on thermal wavelengths.