Land Use/Land Cover Change Detection Analysis in Holalkere Taluk of Chitradurga District, Karnataka, India using Geoinformatics

Manjunatha M.C, Basavarajappa H.T and Maruthi N.E,JECET; June 2017- August 2017; Sec. A; Vol.6. No.3, 291-301.,[DOI: 10.24214/jecet.A.6.3.29101]

Abstract

Land resource is one of the highly sensitive systems that offers sustainability to all forms of life on earth. The present aim is to focus mainly on planning and management of land resources for environmental and socio-economical outcome for sustainable use to meet the future needs. Mapping of LU/LC Change Detection Analysis (CDA) was analyzed using SoI topomap; geo-rectified multi-spectral and multi-temporal image of IRS-1D PAN+LISS-III through GIS software’s. There is a significant rise in agricultural land as well as in built-up land that affecting other LU/LC categories such as mining, dumping and water crisis. Geo-informatics is one of the advent high-tech tools in analyzing the causes, rates, magnitude, patterns, trends in local scales ecosystem for better mapping and monitoring. The final results highlight the change detected on land surface features for better land utilization.

Seasonal fruiting peak and biometric characteristics of fruits of Ricinodendron heudelotii var. africanum (Müll.Arg) (Euphorbiaceae) in agro-ecological wetlands of Cameroon

Marie-Alain MBARGA BINDZI, Germain MBOCK, Elvire Hortense BIYE, Léon Dieudonné KONO, Damien Marie ESSONO ,JECET; June 2017- August 2017; Section . A; Vol.6. No.3, 274-290 ,[DOI: 10.24214/jecet.A.6.3.27490]

Abstract

The study covers the seasonality of the peak of fruiting and the biometric characteristics of the fruit of Ricinodendron heudelotii var.africanum (Müll.Arg) (Euphorbiaceae) in three agro-ecological humid areas of Cameroon. It was carried out from July to October 2011 and consisted of monitoring phenological drop of fruit and the appearance of the carpotypes, as well as taking measures of the biometric characters of fruits, harvested at the base of individuals sampled in three different sites (Awae, Batchenga and Limbe) of three agro-ecological wet areas of distribution of this specie. The results show that the fruiting peak observed in R. heudelotii var. africanum is seasonal and unique, with an averaging of fruit drop on three months, from August to October, corresponding to the wettest season of the year. It appears in September for the forest area with mono-modal rainfall and in October in areas in bimodal rainfall. But, it is more important in the forest transition zone with high Guinean savanna showing a well-marked dry season. The carpotype with two lobes is the most common, however that with three lobes appears significantly in the month of August in the mono-modal rainfall area, while that with one lobe remains constant in three agro-ecological areas, with predominance in the area with bimodal rainfall. The diameter of the fruit is negatively correlated with the number of lobes of the three main carpotypes, except in the mono-modal rainfall area. In general, the highest values of diameter are seen in the two-lobed carpotype at the peak of production in a mono-modal rainfall area. The weight of the fruit is more important during the peak of production and its highest value is observed in individuals found in the mono-modal rainfall forest area.

Monitoring Organic Carbon Content in Soil using Hyperspectral Signature

Dnyaneshwar D. Karale* and Dr. Ratnadeep R. Deshmukh , JECET; June 2017 - August 2017; Section . A; Vol.6. No.3, 264 - 273., [DOI:10.24214/jecet.A.6.3.26473.]

Abstract

The world is highly dependent on the food production. Thus, food production mostly depends on the soil quality. So, knowledge about soil quality along with its components should be known. Organic carbon is an important component in soil as it plays an essential role in important functions. Soil Organic Carbon (SOC) has impact over different physical, compound and organic procedures. The Visible and Near Infrared (Vis-NIR) reflectance spectroscopy with spectral resolution of 350–2500 nm procedure has been considered as a strategy with fast and minimal effort to determine SOC content. Partial Least Square Regression (PLSR) quantitatively derives information which is an important method from reflectance spectral data. PLSR is the mostly used statistical method for determining SOC contents obtained from the spectral data. The results shows that the model based on Partial Least Square Regression PLSR can only make approximate predictions for Absorbance (Log 1/R), RMSE (Root Mean Square Error) = 0.0581-0.0417; R2 (Coefficient of Determination) = 0.9078-0.8959 and for First Derivative, RMSE (Root Mean Square Error) = 0.0044-0.0033; R2 (Coefficient of Determination) = 0.9994-0.9993. This research indicates the importance of a practical strategy for the improvement of SOC prediction with Vis–NIR spectroscopy.

Urban Green Space Analysis and Change Detection Using Geoinformatics

Subin K. Jose, Shajaramol K.R and Titto Varughese, JECET; June 2017- August 2017; Sec. A; Vol.6. No.3, 257-263. [DOI: 10.24214/jecet.A.6.3.25763.]

Abstract

Green areas are vital in determining the quality of urban environment as they influence physical health of citizens and for instance, some are also used as recreational areas. In the process of land use planning for almost all cities, allocation of urban land to green space has become an important policy issue. More specifically, urban green spaces as a class of land use is defined as places within the extent of an urban area that provide opportunities for outdoor recreation and enjoyment or simply pockets of vegetation in the city environment. Mapping and monitoring of urban green spaces is a prerequisite for effective management and protection of urban environment. Change detection is a technique used in GIS and Remote sensing techniques Landsat ETM-7 and OLI - 8 images used for change detecting Supervised maximum likely hood classification LU/LC which have may occur between a time interval (2000 to 2015) in Thrissur corporation The LU/LC of both years has been delineated using and classified maps were crossed to generate an urban green cover changes Normalized difference vegetation index (NDV1) has been employed for detection of change area and quantification of the amount of decline or increase in urban greenery 2000-2015 The analysis showers an overall decrease in the total green space of the study area from 54 2% (2010) to 48.1% (2015). The land use analysis showed that there is a substantial increase in built up and other non-green areas Zonal wise analysis was also carried out to know delineate the most effected localities in terms of green space conversion as a part of development.

Estimation of U, 226Ra, 210Po concentration in Cauvery river basin, south interior Karnataka Region, India

Kavitha E and Paramesh L, JECET; June 2017- August 2017; Sec. A; Vol.6. No.3, 243-256., [DOI: 10.24214/jecet.A.6.3.24356]

Abstract

The radioactive isotopes like 210Po, 226Ra and U are considered toxic, if it enters inside the human body beyond the tolerable dose. Through Ingestion and Inhalation of water and air radioactive concentration enters inside the human body. The Radiochemical analysis technique, Emanometry method and LED fluorimeter are used to analyse the 210 Po, 226 Ra and U concentration in water samples. Due to transfer of water bearing sediments like cracks, pores, heavy usage of phosphate fertilizers and leaching process the radioactive isotopes like 210 Po, 226 Ra and U gets transmitted to environmental samples. 210 Po concentration ranges from 0.71±0.11 to 5.01 ±0.75 mBq l-1and 0.83±0.12 to 5.21±0.78 mBq l-1 in river and borewell waters samples respectively.226Ra concentration ranges from11.74±1.76 to 62.43±9.36 mBq l-1and 10.46±1.57 to 68.33±10.25 mBq l-1 in river and borewell waters samples respectively. The U concentration ranges from 0.08±0.01 to 4.38±0.66ppb and 1.97±0.29 to 7.39±1.11ppb in river and borewell waters samples respectively.