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Drought is a major devastating natural disaster as it continues to impact the ecosystems and livelihoods for considerable duration of time, sometime for years. While Governments, Insurers and Farmers have shown significant interest in Weather Index Insurance (WII), basis risk remains a key challenge for making it effective and scalable. Correlations between critical parameters and yield hold the key...
Statistically relating vegetation index to yield is a common wheat yield estimation method. In this paper, we investigate the relationship between a variety of spectral vegetation indices and yield factors for spring wheat in a semi-arid, rain-fed, agricultural region under different meteorological conditions on the basis of relevant ground observations. We also analyze the yield estimation factor...
The leaf area index (LAI) provides critical information about vegetation density and vitality, and the temporal feature of field crops' green LAI could provide valuable information about the growing status, including environmental stresses, of crops. Quantitatively mapping the spatial and temporal variations of crop growth conditions has been enabled by the emerging of a large number of remote sensing...
A satellite remote sensing experiment, designed to test the difference in ratio vegetation index between continuous monoculture of rice and rotation of bean and rice, was carried out at Rudong between 2009 and 2010. The methods of analysis developed for this experiment are described in the present paper and demonstrated using ratio vegetation indexes of rice s. We conclude that the mean bean ratio...
Various remote sensing-based drought indices have been developed during the past decades. These indices have their own applicability. Examination of adaption associated with limitations in drought indices would be useful for index selection and improvement. In this study, five drought indices (e.g. the temperature condition index (TCI), vegetation condition index (VCI), vegetation health index (VHI),...
This study aims to characterize the spatial arrangement of land cover features and integrate the spatial arrangement information with other commonly used land use indicators. The characterization is conducted at object level, corresponding to land cover objects. At the local urban level, a VHR image is dominated by buildings. Therefore, the characterization of spatial arrangement of land cover elements...
Authors in this work aim to present new analysis methods for Earth Observation, developed by processing Sentinel-1 and Landsat-8 satellite data and combining them in an original way. Comparing SAR and Optical/Multispectral data is a procedure already in use because they are two acquisition systems that provide very different and therefore complementary and useful information. Even if the combination...
The commonly applied triangular method was used to estimate regional evapotranspiration(ET). Based on the parameters of land surface, the applicability of NDVI-land surface temperature(NDVI-LST) and NDVI-albedo triangular methods were validated using the landsat7 data and the Heihe Watershed Allied Telemetry Experimental Research(HiWATER) observed data. Considering the affecting of soil moisture and...
Sudden Oak Death (SOD) has emerged rapidly and repeatedly in US and Europe, with devastating impact upon forest ecosystems and causing severe economic hardship to nursery operation. It has potential host vegetation with large spans in China which has similar environment and climate. Yunnan province was selected as typical study area here for EU and NA evolutionary lineage. It is assumed that there...
Sugarcane is one of the most important economic crops in south China. It's of practical value to quickly assess the leaf area index (LAI) of sugarcane and evaluate its growing state. Field-based or in situ measurements are very labor intensive and time consuming, while satellite images are relatively coarse and unsuitable for real-time crop monitoring, not to mention the cloud-prone climate in south...
Multi-temporal and large scale remote sensing images are very useful for crop monitoring, the HJ Satellites become one of the most important data sources in crop monitoring as the broad-spectral and high-temporal relatively. The paper focused on the agricultural remote sensing monitoring which based on the HJ satellite images, a method of quick processing was carried out. Firstly, image radiation...
In previous studies, the correlation between the vegetation index and meteorological factors were investigated with in intervals defined by the day-of-year. Compared with the day-of-year, the accumulated growing degree days (AGDD) more effectively reflect vegetation growing stage, which serves as important references in agricultural management and disaster prediction. From this end, it is also worth...
Precision agriculture has the potential to improve crop yield and resource use efficiency while protecting the environment. Effective monitoring of crop biomass during the growing season is important for making in-season management decisions. One commonly used active crop canopy sensor for non-destructive estimation of crop biomass is the GreenSeeker sensor. The GreenSeeker normalized difference vegetation...
Vegetation index derived from remote sensing measurement servers as the significant reference for crop growing monitor and agricultural disaster forecasting. Vegetation index forecasting at long lead time and appropriate spatial scale is critical for decision making to mitigate the impacts from agricultural disaster. In previous studies, vegetation index forecasting has been studied and implemented...
Drought is widely distributed in the world, resulting in the shortage of water resources, decreasing groundwater storage, reducing yields of crops, and sustained severe drought even cause serious social and economic problems that affect people's life. Based on the drought monitoring theory and remote sensing data, the drought assessment in Beijing-Tianjin-Hebei(JJJ) region from 2005 to 2014 have been...
The robust and accurate retrieval of biophysical vegetation variables from remotely sensed data using radiative transfer models (RTMs) has been generally hampered by the ill-posed inverse problem. To alleviate this issue and improve the retrieval accuracy, a two-step inversion method based on the PROSAIL (PROSPECT+SAIL) radiative transfer model has been developed to consider the spectral information...
The red palm weevil (RPW) is a dangerous invasive insect species that is causing severe damage to date palm trees around the world. This study focuses for the first time on the detection and discrimination among different stages of RPW stress-attacks using bio-physiological spectral indices and statistical analysis of satellite image data. A total of 27 different indices were assessed using new technology...
Soil respiration (Rs) is a major CO2 flux within terrestrial ecosystems. This study examine the feasibility of applying HJ-1 CCD data to analyze the growing-season variations of Rs in two irrigated cropland ecosystems. At growing season time scale, crop biophysical parameters, such as leaf chlorophyll content (Chlleaf) and green leaf area index (GLAI), explained most Rs variation in the maize and...
Conventional methods for classifying SAR data, such as H-α decomposition, Wishart classifier etc. are quite complex and classifies data only on the basis of polarimetric information. With the advent of distinct feature types, their role in land cover classification using SAR data could be analysed. For the sake of classification, researchers are extracting and combining several features in order to...
There are two important factors to improve the accuracy of the support vector machine(SVM) classifier. First, selected training samples should uniquely represent each class. Second, SVM training parameters which are pre-defined by the user should be suitable for training samples to obtain satisfied results of the SVM classifier. The proposed method of this paper presents a technique to adjust the...
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