Abstract. Terrestrial Laser Scanners (TLS) are used to get dense point samples of large object’s surface. TLS is new and efficient method digitize object or scene. The collected come into different formats coordinates. Different scans required scan such as heritage site. Point cloud registration considered important task bring whole 3D model in one coordinate system. clouds can be registered by using the three ways combination them, Target based, feature extraction, based. For present study...

An accurate and reliable detection of soil physicochemical attributes (SPAs) is a difficult complicated issue in science. The SPA may be varied spatially temporally with the complexity nature. In past, has been obtained through routine chemical physical laboratory analysis. However, these methods do not fulfill rapid requirements. Accordingly, diffuse reflectance spectroscopy (DRS) can used to nondestructively detect characterize superior solution. present article, we report study done...

Hyperspectral remote sensing has been widely used for mapping of soil, its classification and also texture description. It is beneficial in urban rural management. The present work reports the study regarding soil analysis using Support Vector Machine (SVM). Hyperion satellite data with 10nm fine spectral resolution Phulambri region Aurangabad district Maharashtra (India) which lies between 20° 06' N latitude 75° 25' E longitude was classification. Gaussian Radial Basis Function (RBF) kernel...

Recently, Hyperspectral remote sensing technology has been proved to be a valuable tool get reliable information with details for identifying different objects on the earth surface high spectral resolution. Due atmospheric effects may lost from hyperspectral data. Hence it is necessary remove these data identification of surface. The correction very critical task images. present paper highlights advantages data, challenges over as pre-processing solutions through QUAC and FLAASH algorithms....

Remote sensing is an efficient technology and worthy source of earth surface information, as it can capture images reasonably large area on the earth. Due to advancement in sensor technologies there availability high spatial well spectral resolutions imageries, also non imaging Spectroradiometer. With use these non-imaging data we easily characterize different species. In this article have reported work done by worldwide researchers for feature extraction from remote data; specifically...

Apace growth of urban area produces more solid waste; a city like Aurangabad daily approximately 450 metric ton garbage which is dumped at Naregaon; but residents Naregaon protesting against dumping garbage. They are facing serious health issues because water pollution and foul smell. It burning issue in since last year. very critical task to identify new sites using traditional way for waste. A rule based identification site can be done Remote Sensing GIS, save time increase accuracy. For...

A growing urbanization required continues observation of Land Use Cover (LULC). Geospatial Technology can provide a sustainable LULC with good accuracy as compared to traditional way. From past few decades Panchromatic and Multispectral data were widely used; now advent in Hyperspectral be available for it. imagery contains diverse information from wide range wavelengths. Due the mix-structure an urban area, it is very difficult identify classification objects. For this work EO-1 Hyperion...

The objective of this paper is to report the study carried out assess and evaluate changes in Land-Use Land-Cover(LULC) at region Aurangabad Municipal Corporation (AMC) for year 2009 2015 using multispectral images acquired from remotely sensed Linear-Imaging-Self-Scanning-Sensor-HI(LISS-HI). area was categorized into six types, viz. Residential(R), Vegetation(V), Water_Body(W), Rock(Ro), Barren Land(B) Fallow_Land(F). Four different types supervised classifiers have been used it found...

Soil condition monitoring is critical job by existing chemical treatments which essential for crop growth food production in efficient way. As well as soil spatially and temporally vary everywhere. In the current scenario, hyperspectral remote sensing datasets are widely used researchers provide minute details of earth surface objects especially soils. that constraint, study focuses evaluation using various narrow band spectral indices derived imaging non-imaging datasets. The Analytical...

Soil organic matter (SOM) plays an important role in growth of plants along with healthy practices farming and quality soil. However, assessment SOM is a tedious task due to its complex spatial variability chemical treatments. Visible-Near Infrared (VNIR) reflectance spectroscopy (RS) has normally used determine the contents soil without perilous chemicals. Consequently, VNIR spectrum extensively foreseeable demand for precision farming. In present study, spectra between 350-2500nm thirty...

In this advanced technological era, farming methods and techniques also get upgraded to improve their yield so that farmers' profits improve. Precision uses drip irrigation optimize its resource utilization. Different technologies like the Internet of Things (IoT), artificial intelligence (AI), Sensors, drones bring precise data helps farmers better schedule manage. This research paper aims implement a sensor-based system optimizes for Sugarcane crops in Satara, Maharashtra. research, two...

In this work we have used data as acquired by IRS P6 LISS III sensor to classify crop area and spatial pattern of Vaijapur Tehsil. The supervised classification approach with fuzzy convolution technique Maximum likelihood classifier has been for analysis satellite image the month February 2015 ground truth collected during field visit testing training purpose. Fuzzy applied on layers obtained after compared these result Likelihood classifier. It is found that given better overall but class;...