The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
With the rapid development of science and technology, the informatization level of China water resource management has made considerable improved. Three disasters controls (flood control, anti-drought & typhoon defending) is an important content of the Guangzhou water management work. In recent years, a series of information collection system have been built to make the water status data acquirement...
The interaction of yield of water hyacinth with growth is known to be strongly influenced by its biomass and area sizes, but little is known about the inter-dependent role that the sizes and time have on dynamic estimation of yield of water hyacinth. Here, we report on the fusion of satellite and GPS sensor data into the yield growth model of water hyacinth as a function of its area, biomass and time...
Surface soil moisture (SSM) is a significant component in the modeling of climatological, hydrological and ecological systems. In this study, an approach is presented and validated for combining the water cloud and Change Detection models to invert surface soil moisture using ENVISAT ASAR Global Monitor mode images (ASAR-GM data). A total of 25 images were selected in HH polarization. We have used...
The aim of this work is to detect diseases that occur on plants in tomato fields or in their greenhouses. For this purpose, deep learning was used to detect the various diseases on the leaves of tomato plants. In the study, it was aimed that the deep learning algorithm should be run in real time on the robot. So the robot will be able to detect the diseases of the plants while wandering manually or...
Scientific workflow plays an important role in complex scientific computing. It can integrate various data and analysis functions to solve complicated geoprocessing problems which usually involve a couple of steps. They could be accomplished manually step by step in Geographic Resources Analysis Support System (GRASS), an open source Geographic Information System (GIS) software, or automated through...
Ecological restoration for degraded mud flat ecosystem can be implemented by planning managers according to the ground investigation, but with low efficiency. We report that satellite sensors of remote sensing, minimizing ecological restoration cost and maximizing ecosystem service values improve ecological restoration efficiency of degraded mud flat ecosystem. In particular, an optimal programming,...
River planform changes influence human residence, industrial development, agricultural development and national border security. A river consists of many reaches. Reach planform changes can be acquired by field survey works which are high-precision but time-consuming, or geographic information technologies which are low-precision but efficient. A reach planform can be described by two lines in GIS,...
Timely and accurate crop growth monitoring and yield estimation are vital for guaranteeing food security and agricultural sustainable development. As two main methods of crop yield estimation, crop growth simulation models and remotely sensed methods both have their respective advantages. Crop growth models are widely used in simulating crop development stage and yield in a small scale while satellite...
Unmanned Aerial Vehicle (UAV) imagery are being assessed for analyzing within field spatial variability for agricultural precision management, because unmanned aerial vehicle imagery may be acquired quickly during critical periods of rapid crop growth. The objective of this study was to evaluate the use of unmanned aerial vehicle for the monitoring barley growth. Unmanned aerial vehicle imagery obtained...
Vegetation net primary productivity (NPP) has a great impact on terrestrial carbon cycle, which is an important index to determine the size of vegetation productivity and regulate ecological processes. In this paper, the urban with high spatial heterogeneity was selected as the research background, and the urban vegetation of Xuzhou was selected as the research object, then Landsat remote sensing...
Surface incident photosynthetically active radiation (PAR) is an important input parameter for many ecosystem models and applications. We propose a method based on a radiative transfer model for estimating surface PAR from Visible Infrared Imaging Radiometer Suite (VIIRS) TOA observations by optimizing the surface and atmospheric variables with a cost function. Validation against measurements at seven...
With China Remote Sensing career advancement, a large number of independent researches and development satellites have launched. Among a new generation of high-resolution satellites, GaoFen-1 (GF-1) stands out. It sets high spatial resolution (2 m-16 m), multi-spectral and high temporal resolution (4-day) with 60 km-800 km swath in a fusion technology with strategic significance. In order to explore...
Agriculture cropland soil moisture information plays a significant role in the management of agricultural policy, food security, and food prices. For better utilizing and reusing the agricultural information and knowledge, US Departments of Agriculture (USDA) National Agricultural Statistics Service (NASS) monitors US crop soil moisture condition using weekly field observations for counties in 45...
With the advancement of Web service technologies, more and more spatial data and analysis functions are available on the web. Scientific workflows are widely used to orchestrate services to solve complex geospatial problems. The ontology for processing service orchestration (OPSO) is developed to empower domain experts to explore large datasets and complex processing workflows iteratively and collaboratively...
Normalized difference vegetation index (NDVI) has been correlated with various vegetation parameters using different preprocessing methods, corrections and sampling time based on the aim of the study. In yield estimation studies, maximum NDVI value of the season and the same day of the year NDVI value, which are based on chronological sampling time, are used within different techniques from statistical...
Taking Forest Park in Chongqing metropolitan area as the research objects, the paper adopts nearest neighbor index, geographic concentration index, unbalanced index, Gini coefficient and ArcGIS analysis software to conduct quantitative and qualitative analysis on spatial distribution and its characteristics of forest parks. The results show that forest parks are weakly condensed distributed in the...
The growth of plants is easily affected by external conditions such as sunlight, temperature, humidity and some organic and non-organic materials. Some fertilizers have effects on the growth and the volume of the plants. This paper measures the effects of some fertilizers on the plants using active contour computer vision technique by calculating the plant growth. The contour of an object is easily...
Real time monitoring of vegetation conditions is of paramount importance, particularly for food insecure countries, to detect possible crop and pastures production drops as early as possible. This monitoring is classically based on remote sensing indicators of vegetation conditions (typically NDVI and rainfall produced every ten days at a resolution of 1 km or more) and many web portals now offer...
Accurate and timely information of the extent and changes in corn cultivation are of great significance for agricultural production management, food security and global environment change studies. Due to the high temporal repeat interval, near global coverage and rich spectral bands, MODIS time series data has been demonstrated particularly suitable for detecting the seasonal dynamics of different...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.