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Leaf chlorophyll content is a key indicator of crop photosynthesis activity, which is correlated with leaf nitrogen concentration, and can serve nitrogen fertilizer decision-making. So it is of significant to estimate chlorophyll content for crop growth diagnosis. In this study, a new hyperspectral index was proposed to estimate leaf chlorophyll content in winter wheat. Hyperspectral reflectance data,...
Establishment biomass monitoring methods of invasive species has an important instructive meaning for control and treatment of invasion, which was also beneficial to national ecological safety and social stability. This study researched the estimation methods of biomass of water hyacinth by hyperspectral remote sensing. The spectral reflectance characteristics were analyzed based on field experiments...
In order to evaluate the arable land change and ites pressure in coastal region of Jiangsu province, China. Land use change from 2006 to 2010 were analyzed based on TM imagery. With the help of the Statistical Yearbook, the pressure index of arable land in the region was calculated and the four partition were divided. The urbanization trend and the driving factors were also analyzed. That some countermeasures...
Precision nitrogen (N) management has a great potential to improve N use efficiency. It will require timely and efficient diagnosis of crop N status. Chlorophyll meter sensor is one of the commonly used diagnostic tools for crop nitrogen status, and different methods have been developed, including nitrogen sufficiency index, and ratio of chlorophyll meter values at different leaf positions. Up to...
Accuracy assessment is essential after the classification of remote sensed image. For it is expensive for field survey of every sample, how to select an effective sample that is the unbiased estimation of the population which defined as the all the pixels on the classified map is a very important problem. The classification errors are not randomly distributed on the classified map but distributed...
In present paper, to effectively improve the accuracy of burnt scar mapping in hilly areas, a new method by combing multiple spectral indices with Support Vector Machines (SVM) has been put forward. Firstly, the Landsat TM image was geometrically and atmospherically corrected. Secondly, two widely used thematic-oriented spectral indices, namely, the vegetation index SAVI and the water index MNDWI...
Crop Growth Monitoring System (CGMS) which was developed by MARS (Monitoring Agriculture with Remote Sensing)Project in European Union (EU) Joint Research Centre (JRC) is a large-scale crop growth monitoring system. CGMS has made a wide range of applications in the EU, and has become an important part of MARS Project; it also plays an important role in scientific decision-making in the EU agricultural...
Dynamic monitoring crop growth can keep track of the crop growth status, seedlings, soil moisture, nutriture and their changes and then the appropriate management strategies will be taken to ensure timely the normal growth and development. This study represented the potential of satellite hyperspectral imagery to monitor winter wheat biophysical and biochemical characteristics through narrow-band...
In this study a method is proposed for detect pomegranate fruits on the tree and find the number of overall pomegranates using near camera images obtained from the stations established the groves. The pomegranate has significant red color, so a color-based method is applied for to detect the fruits on the tree. Color alone cannot provide a sufficiently robust algorithm for the detection of the pomegranate...
In this study, we evaluated the precision of different regression models correlating grasslands aboveground biomass (AGB) and its corresponding vegetable index (VI). We further identified changes in the size and distribution of AGB and explored the relationships between interannual AGB pattern and climatic factors in the eastern Inner Mongolia grasslands by integrating AGB data collected from 520...
ZY-3 is China's first civilian high-resolution stereo mapping satellite. It equipped multiple star trackers and gyros for attitude determination. The stellar images acquired by the autonomous Active Pixel Sensor (APS) based star tracker on ZY-3 satellite are downlinked to the ground for post-processing. The FOV (Field Of View) of the star tracker is 20º×20º, which is designed large to detect more...
Heading stage is the key stage of corn in whole growth phase, degree of corn tasseling directly related to the yield and quality in heading stage. Remote sensing data in the reflective optical domain function as a unique cost-effective source for providing spatially and temporally distributed information on key biophysical and biochemical parameters of vegetation. Based on remote sensing data to acquire...
Leaf water content (LWC) is an important parameter for evaluating crop health and predicting crop yield. The objective of this study was to compare two methods for the precision of estimating LWC in winter wheat by combining stepwise regression method and partial least squares (SRM-PLS) or PLS based on the relational degree of grey relational analysis (GRA) between water vegetation indexes (WVIs)...
Field surveys were conducted at regreening, jointing, heading and flowering stage in Jiangsu in 2011. The HJ satellite images were downloaded and preprocessed. Wheat grain quality was acquired at maturity. Band values of sampling sites were derived from the satellite images of four growth stages by using GPS information, and the candidate vegetation indices were calculated with the band values. The...
In regional scale, satellite data was gained frequency nearly a day or more shorter, and these satellite data had already been wildly used for drought monitoring. Meanwhile, a variety of information systems of drought monitoring based on client/server architecture were developed and employed. However, these systems were too professional for non-professional workers to use. With the development of...
Unique polarimetric information included in SAR data hasn't received deserved attention, especially in the retrieval of crops biophysical parameters. This paper finds that two polarimetric parameters, that is polarimetric scattering entropy (H) and mean scattering angle (α), have great potential in crops biophysical parameters retrieval. Polarimetric features extracted by eigenvector-based and model-based...
Leaf area index (LAI) is an important parameter on the crop yield estimation and pests and diseases identification. LAI is a good indicator for crop growth and energy exchange information. At present, there are many ways to measure the crop LAI, but there are quite few studies or testing to compare the applicability among the different methods on the LAI inversion. In this study, some common methods,...
Precision nitrogen (N) management requires real-time diagnosis of crop N status, and recommends N application rates accordingly. Nitrogen nutrition index (NNI) has been proposed as a better indicator of crop N status, but it is not suitable for practical applications, because it requires destructive plant sampling and time-consuming analysis of plant N concentration. There has been increasing interest...
The normalized difference vegetation index (NDVI) time-series data, derived from satellite sensors, has been used to support land cover change detection and monitor crops successfully, but further applications are hindered by residual noise in the NDVI data. Methods for reducing noise and constructing high-quality NDVI time-series data sets can be broadly grouped into three general types, including...
Vegetation Health Index is computed based on the vegetation index and land surface temperature which are very important satellite products for drought monitoring with remote sensing. The quality of Temperature Condition Index and Vegetation Health Index deeply depends on the quality of the Land Surface Temperature (LST). The present retrieval algorithm of Moderate Resolution Imaging Spectroradiometer...
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