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Titlebook: Microbial Biotechnology; Volume 2. Applicatio Jayanta Kumar Patra,Gitishree Das,Han-Seung Shin Book 2018 Springer Nature Singapore Pte Ltd.

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11#
發(fā)表于 2025-3-23 12:01:50 | 只看該作者
C. Elizabeth Rani Juneius,M. Sundari,R. Eswaralakshmi,S. Elumalaiosol optical depths to retrievals by operational satellites and to representations in global models. Available data-sets, however, rarely relate to the same year(s). With strong year-to-year variations even for monthly averaged aerosol optical depths and open issues on sampling biases and regional r
12#
發(fā)表于 2025-3-23 14:29:54 | 只看該作者
13#
發(fā)表于 2025-3-23 19:00:29 | 只看該作者
14#
發(fā)表于 2025-3-23 23:28:36 | 只看該作者
Bidyut R. Mohapatrast several years have given clear indications that the prediction and efficient monitoring of disasters is one of the critical factors in decision-making process. In this respect space-based technologies have the great potential of supplying information in near real time. Earth observation satellite
15#
發(fā)表于 2025-3-24 04:50:03 | 只看該作者
Dash Indira,Baskar Das,P. Balasubramanian,R. Jayabalans well established. They are contributors – remotely-sensed or analytical information is not sufficient by itself. Useful application of geospatial data requires information from multiple sources, first during analysis and then to provide geographical context. The resulting product is useful to emer
16#
發(fā)表于 2025-3-24 06:45:19 | 只看該作者
Shekhar Jain,Devendra Kumar Choudhary,Kanti Prakash Sharma,Rashmi Aggarwal – 4 Ocean Color Monitor (IRS P4-OCM) data, wind and wave data and wave refraction derived near shore drift pattern, salinity condition and beach morphological changes. Near shore pollution dispersion pattern is inferred for the coastal region between Karwar and Bhatkal based on the observed coastal
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發(fā)表于 2025-3-24 11:24:47 | 只看該作者
18#
發(fā)表于 2025-3-24 17:08:27 | 只看該作者
Rout George Kerry,Sushmita Patra,Sushanto Gouda,Jayanta Kumar Patra,Gitishree Dasng rice production areas is important due to the growing global demand?for the crop. Since cropping systems vary across time and space, frequent monitoring over broad areas is required. This research exploits Moderate Resolution Imaging Spectroradiometer (MODIS) data to identify the stage of rice gr
19#
發(fā)表于 2025-3-24 19:29:12 | 只看該作者
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發(fā)表于 2025-3-25 01:40:15 | 只看該作者
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