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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...
Climate and land use land cover (LULC) are two important factors for changes in hydrological droughts in the Yellow River Basin (YRB). Quantifying their impacts on hydro-logical droughts is of great importance for drought prevention and mitigation. To better characterize hydrological droughts, we proposed a new drought index named Standard Surface water and Groundwater Index (SSGI) that considers...
Soil moisture is an important indicator that defines the land surface-atmosphere interactions by contributing precisely to the surface energy and water balance. In this study, we examine the utility of the Neural Network (NN) model using Discrete Wavelet Transform (DWT) as preprocessing mechanism for soil moisture estimation. The decomposed wavelet sub-time series data was used as input to the 3-layered...
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...
Temperature vegetation dryness index (TVDI) is widely used for its physical significance. In this study, using the historical MODIS data, we consider Henan Province, a large grain province in Central China, an example for constructing feature space and calculating TVDI. Multi- and single-group image approaches are then compared, and the applicability of the TVDI in Henan Province is analyzed through...
Agricultural maps produced from earth observation data are useful at several stages in the agricultural value chain and allow farmers to make rational and comprehensive decisions when planning, planting and growing new crops. Towards this direction, a platform for the online, real-time analysis of big earth observation data for precision agriculture applications has been designed and implemented....
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,...
With ever growing population and shrinkage of agricultural land, food security is an extremely important research topic. Besides human activates, natural disasters such as flood, drought also play adverse effect on food productivity. Understanding impact of these disaster on crop yield and making early estimation could help planning for any global food crisis. Among various available crop yield estimation...
Remote sensing imagery derived from different sensors has different crop identification capability. due to the different spatial and temporal resolution, availability of certain spectral bands. Landsat OLI and RapidEye provide an important part of data sources for agricultural monitoring with a relative long historic records. As the availability of the data from these two sensors is totally different,...
Satellite based sun-induced chlorophyll fluorescence (SIF) makes it possible for the first time to probe plant photosynthesis worldwide, and can be hence deemed as a direct proxy to measure the terrestrial gross primary production (GPP). Here we investigated the predictability of SIF at the global scale to figure out the issue that how far ahead of time the dynamic change of SIF can be caught. By...
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...
Agricultural land is the basis and guarantee for the survival and development of human. How to take scientific and effective use of agricultural land is an urgent problem to be solved. The suitability assessment can provide a good answer to this question. In order to realize the scientific, reasonable and efficient use of agricultural land under the lack of information condition, we carry out research...
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...
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