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Landfill site selection in an urban area like National Capital Territory (NCT) of Delhi is a challenging task due to shortage of suitable land and other environmental, economic and social parameters. This study focusses on the utilisation of geographic information system, open-source libraries and remote sensing for identification of potential landfill sites in Delhi NCT. Multi-criteria decision analysis (MCDA) and other GIS-based approaches are used for analysing various natural parameters derived using remote sensing satellite data products. Resourcesat LISS-III and Sentinel-2 multispectral satellite data is used for deriving the required parametric layers. Zones in the vicinity of monuments, transport, canals, drainages, lineaments are avoided altogether. Results reveal overall, most suitable places for landfill site in study area is around 4.05 sq. km (0.27%), moderately suitable places are 14.68 sq. km (0.98%), least suitable places are 25.46 sq. km (1.71%) and not suitable places is 1,419.11 sq. km (95.62%).

Pearl millet (Pennisetum glaucum), commonly known as Bajra crop, is one of the most extensively cultivated cereals in the world, after rice, wheat, and sorghum, particularly in arid to semi-arid regions. India is the largest producer of this crop, both in terms of area and production. Temporal monitoring of crop area under cultivation is essential for the sustainable management of agricultural activities on both national and global level. The present study is envisaged to discriminate of bajra crop in the rainfed agroecosystem using multi-temporal Sentinel-1 Synthetic Aperture Radar (SAR) data with dual polarization (VH and VV) in Beed district of Maharashtra. The bajra area is extracted using Random Forest (RF) classification technique and validated using the ground observation collected extensively from the field. An area of 1401 square kilometers was found under rainfed bajra out of 10693 square kilometers area of entire Beed district which is 13.1% of the total geographical area. The user accuracy (omission error), producer accuracy (commission error) for bajra crop, overall accuracy and Kappa coefficients were 82.9, 80.1, 87 and 0.71%, respectively. The study demonstrated that SAR data can be successfully used for the discrimination and acreage estimation of rainfed bajra using RF classifier.

Hyperthermia, CdCl2, sodium arsenite, and H2O2 led to the rapid appearance of high levels of peroxidase in Neurospora crassa cultures and induced tolerance toward normally lethal temperatures in 60-h-old colonies. Intracellular superoxide dismutase levels did not correlate with the development of thermotolerance.

The process of repeat-induced point mutation (RIP) was used to disrupt hsps-1, the gene encoding the major heat-inducible member of the HSP70 family of Neurospora crassa. A plasmid DNA, containing an incomplete copy of hsps-1 and the selectable marker qa-2+, was introduced into germinated conidia. The sexual progeny of transformants with ectopically integrated hsps-1 DNA was examined for RIP by Southern-blot analysis of MboI- and Sau3A-digested genomic DNA. Progeny strains, showing RIP, were tested for heat shock-responsive expression of hsps-1, by RNA-blot hybridization and Western-blot analysis, as well as for thermotolerance. Isolates with RIP showed low levels of hsps-1 mRNA and a lack of induction of HSP70 protein by heat shock, accompanied by only a marginal decrease in the acquisition of thermotolerance.