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1 Aug 11, 2017
ENHANCEMENT OF THE AVHRR–BASED BRIGHTNESS TEMPERATURE DATA

The major goal of the present article is to investigate the Brightness Temperature (BT) stability in the NOAA/NESDIS Global Vegetation Index (GVI) using over 20 years of data, which was collected from five NOAA series satellites. An empirical distribution function (EDF) was developed to reduce the long-term inaccuracy of the BT data derived from the AVHRR sensor on NOAA polar orbiting satellite. The instability of data results from orbit degradation as well as from the circuit drifts over the life of a satellite. Degradation of BT over time and shifts of BT between the satellites were estimated using the China data set, because it includes a wide variety of different ecosystems represented globally. It was found that the data for six particular years, four of which were consecutive, are not stable compared to other years because of satellite orbit drift, AVHRR sensor degradation, and satellite technical problems, including satellite electronic and mechanical satellite systems deterioration. The data for paired years for the NOAA-7, NOAA-9, NOAA-11, NOAA-14, and NOAA-16 were assumed to be standard because the crossing time of satellite over the equator (between 13:30 and 15:00 hours) maximized the value of the coefficients. These years were considered the standard years, while in other years the quality of satellite observations significantly deviated from the standard. The deficiency of data for the affected years were normalized or corrected by using the EDF method and compared with the standard years. These normalized values were then utilized to estimate new BT time series that show significant improvement of BT data for the affected years....

Authors: Md. Z. Rahman, Leonid Roytman , Abdelhamid Kadik, Dilara A. Rosy.

2 Aug 11, 2017
REMOTE SENSING OF AGRICULTURAL DISASTERS MONITORING: RECENT ADVANCES

Agricultural disasters are the adverse reaction of crop to environmental conditions that are unfavorable to their growth, such as drought, flooding, extreme temperatures, disease and insect infestation. With the advancement of the agricultural information technology, remote sensing system, and advances in data analysis techniques, these drivers have inspired new thinking and impetus to the agricultural disasters monitoring. Aiming to generalize the knowledge and provide perspectives for remote sensing of agricultural disasters, this paper had summarized data functionalities, data processing methodologies and recent advances of agricultural remote sensing. Literatures on remote sensing of agricultural disasters monitoring were then reviewed. Judging from the development trend, agricultural remote sensing had been significantly benefit from rapid development of information technologies, availability of multi-source data, Precision Agriculture equipment, and the integration with physical model. These advances suggested many opportunities and challenges for remote sensing in agricultural disasters monitoring. The development for remote sensing of agricultural disasters should be paid more attention to the following aspects: (1) fully understanding the merit of remote sensing; (2) quantifying and validating of disasters monitoring; (3) strengthening early warning capability; (4) fusing multi-sources data; (5) bridging the gaps between experimental studies and practical applications....

Authors: Zhuokun Pan, Jingfeng Huang, Chuanwen Wei, Hankui Zhang.

3 Aug 11, 2017
ASSESSMENT OF GROUNDWATER QUALITY FOR IRRIGATION IN THE TATTEKERE WATERSHED, PERIYAPATNA AND HUNSUR TALUKS IN MYSORE DISTRICT, KARNATAKA, INDIA

Suitability of groundwater for irrigation was assessed in the study area in Mysore District, Karnataka based on various water quality parameters. From the study of suitability of the groundwater from the irrigational point of view, it is seen that Sodium Adsorption ratio (SAR) of all the water samples are of excellent class. On the basis of Residual sodium carbonate (RSC), all the water samples are of Good class. The water from deeper aquifers has better quality in general than that of the shallow aquifers. The groundwater of the study area is suitable for irrigation purposes except some cases where the water is saline in nature and has magnesium hazard. In order to achieve the set objectives various infrastructure like welldesigned monitoring network for groundwater levels, installation of digital water level recorders (DWLR’S) upgrading of water quality laboratories, establishment of data centers were implemented over the period of project....

Authors: Ramakrishna, D.Nagaraju, Siddaraju.K, Bhanuprakash.H.M, Shivawamy.H.M, A.Balasubramian.

4 Aug 11, 2017
CLASSIFICATION OF EARTH SURFACE SEGMENTS USING CLUSTER ANALYSIS AND ARTIFICIAL NEURAL NETWORK

The objective of this work is to segment multispectral satel-lite images into various classes such as Water, Vegetation and Land using clustering technique . The experimentation has been done using the satellite images of Dharwad area of Karnataka state in India acquired by Linear Imaging Self Scanning (LISS-III)from Indian Remote Sensing satellite (IRS) The Artificial Neural Network (ANN) classifier is used for the classification . 96.30% of accuracy is achieved by selecting Region of Interest (ROI) from each cluster of the image formed by K means clustering technique and vali-dated by using ground truth, which demonstrate the effec-tiveness of the method....

Authors: Anita Dixit, Nagaratna, P.S Hiremath.

5 Aug 11, 2017
CROP WATER REQUIREMENT ANALYSIS OF A WATERSHED USING REMOTE SENSING DATA & GIS

Water in the modern world is a highly valuable resource. So it is very necessary to use this very precious resource wisely. One of the major users of water is agriculture either in form of direct use or through irrigation. So it becomes very important to note the various requirements and their amount of supply. In this case an important tool can be useful to the calculation .i.e. IRRIGATION EFFICIENCY and with this crop water requirement can also be an effective tool. Irrigation efficiency is highly useful data in calculation the actual water requirement at the field and the amount of water that is supplied to the farm lands. There are many techniques usually applied for calculation of such process but ArcGIS was taken into consideration with high satellite images because a large area can be covered with ease a thematic map can be usually designed, land use and land cover map can be used too. The study area was KUANRIA medium irrigation, NAYAGARH, ODISHA. This study is focused on estimating the water demand for paddy crop during kharif cropping season within the study area. High quality satellite images were taken into consideration to identify the irrigated areas and the fallow land. In addition to this interpretation process the help of ORSAC was taken into consideration. After calculating the area, with the help of agricultural data the actual volume of water required for the crop has to be determined. Now the actual volume was to be compared with the data that is provided by the WATER RESOURCE DEPARTMENT. Now following remedies has been provided to increase the irrigation efficiency....

Authors: Sumeet Patnaik, F.Baliarsingh, Manoj Kumar Sanabada.

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  • Vol 2, Issue 5 Sept 2012 will be published on 22 Sept 2012 Evening. Kindly wait for little more time. Posted by Admin.