Geoscience and Remote Sensing

In precision agriculture, detecting productive crop fields is an essential practice that allows the farmer to evaluate operating performance separately and compare different seed varieties, pesticides, and fertilizers. However, manually identifying productive fields is often time-consuming, costly, and subjective. Previous studies explore different methods to detect crop fields using advanced machine learning algorithms to support the specialists’ decisions, but they often lack good quality labeled data.


A computational experiment has been performed in order to evaluate systematic errors of atmospheric Total Water Vapor (TWV) and integral Liquid Water Content (LWC) microwave radiometric retrieval from satellites by means of dual-frequency method (inverse problem).  The errors under consideration may arise due to the non-linearity of brightness temperature level on true liquid water and effective cloud temperature dependencies and due to neglecting the spatial distribution of cumulus clouds in the satellite microwave radiometer antenna field-of-view (FOV).


We propose a road intersection identification method based on spatial constraint relationships of vector data. To evaluate its wide applicability, OpenStreetMap (OSM) data from seven cities–Berlin, Beijing, London, Nanjing, New York City, Rome, and Shanghai–were employed to identify road intersections of these cities.


Gorakhpur is a city located in the north-eastern region of

Uttar Pradesh state of India. It is a sub-part of Purvanchal

region of Uttar Pradesh and Bihar. In the south-western

part, Gorakhpur periphery spreads along Rapti river. In

the north-western region, Gorakhpur shares its periphery

with Chillua Tal. In the southern part, Ramgarh Tal with a

perimeter of 18 km is located.


Water Bodies:


+ Ramgarh Tal is a historically important heritage site and

is also a tourist attraction; spread over 700 hectares of


India is a sub-continent that stretches from Ladakh in

the North to Kanyakumari in the South and from

Gujrat in the West to Arunachal Pradesh, Nagaland

and Manipur in the East. India is currently the

seventh largest country by land covering an area of

approximately 32,87,263 kms.


India's Space Strengths:

India is the fourth country in the world to have

destroyed a satellite of its own. India built the

record-breaking space capability of launching 104

satellites on a single Polar Satellite Launch Vehicle


Most of the current smoke detection techniques are developed using CCTV images. To identify the wildfire early, it can be useful to deploy satellite imagery and develop models that can recognize smoke in forest areas. However, very few labelled satellite image datasets are available to build the wildfire smoke detection model. In order to find a solution to this problem, a dataset consisting 23, 644 satellite images was gathered. The dataset is divided into four categories: smoke, smoke with fog, non-smoke, and non-smoke with fog.


Radio frequency interference (RFI) is a problem in microwave remote sensing even for sensors operating in the protected band at 1.4 GHz (L-band).  Unfortunately, little is known about the sources of the interference, which complicates the design of systems to deal with it.  The SMAP radiometer is unique in that it comprises an array of tools to detect RFI, including spectral information and kurtosis in addition to the more conventional time-domain thresholding.  This data set contains examples used in an investigation to determine if the kurtosis (K) can be combined with the information abo


This experiment was implemented to collect infrared images of the coal and gangue samples at the temperature of 323.15 K. Additionally, it showed that distinguishing between coal and gangue samples is feasible, although the area, thickness, and surface conditions were changed at a constant temperature during the process of capturing the infrared images. The coal and gangue were randomly collected from the same mine. The random samples had different weights, shapes, areas, thicknesses, and surface conations. 


Radial basis function (RBF) is a basis function suitable for scattered data interpolation and high dimensional function interpolation, wherein the independent shape parameters have a direct impact on the accuracy of calculation results. Research in this field is mostly concerned with the shape parameter selection strategy based on the premise of global distribution or block regional distribution. In this paper, a shape parameter selection strategy is proposed, which is used for the local RBF collocation method (LRBF) for solving partial differential equations.