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In recent years, combining spatial and timely remote sensing data and crop growth model is an important way to improve accuracy of crop growth simulation and crop growth monitoring. In this paper, global optimization algorithm SCE-UA (Shuffled Complex Evolution method - University of Arizona) was used to integrate remotely sensed leaf area index (LAI) with EPIC crop growth model to simulate regional...
Spatial and temporal mismatches between coarse resolution output of global climate models (GCMs) and fine resolution data requirements of crop models are the major obstacles for assessing the site-specific climatic impacts of climate change on the production of winter wheat. Based on the output of IPCC AR4 model and observation data, statistical downscaling of precipitation, minimum temperature, and...
NDVI maps have been proven valuable in providing a spatially complete view of crop's vegetation condition, which manifests disastrous events such as massive flood and drought. It is virtually impossible to obtain from ground survey data. This paper uses NASA MODIS 250m resolution, daily surface reflectance data for crop condition monitoring. The NDVI provides an absolute metrics for vegetation condition...
In this paper, we have evaluated unsupervised unmixing approach (VCA) for the application of crop yield estimation. The results show that abundance maps of the vegetation extracted by both approaches are strongly correlated to the yield data (the correlation coefficients are between 0.7 to 0.8). The results validate the higher efficiency of the unsupervised unmixing approaches compared with the supervised...
The potential of TerraSAR-X (X-band) in monitoring sugarcane growth was investigated on Reunion Island. Multi-temporal TerraSAR data acquired at various incidence angles (17°, 31°, 37°, 47°, 58°) and polarizations (HH, HV, VV) were analyzed in order to study the behaviour of SAR (synthetic aperture radar) signal as a function of sugarcane height. The potential of TerraSAR for mapping the sugarcane...
The landscape change of desertification process and human activity impacts on desertification had been analyzed on the case of Yanchi County in Northern China. It is helpful to understand the process of desertification, and can help to understand how human activities contribute on the landscape change that caused to desertification. The results show that the landscape change of desertification process...
Remote sensing imagery is currently used as an efficient tool for agricultural management. Particularly, very high spatial resolution (less than 1m) enables extraction of permanent crops (including nut orchards) by visual interpretation or automated methods based on mainly textural features representing the regular plantation pattern. For accurate detection of orchards (hazelnuts in particular), this...
Acreage of crops is an important agricultural economic information. In this paper, Using a detailed land use data, constructed sample frame. Ditch planted crops into account the direction,. In support of GIS spatial technology, the survey cost and distribution of natural land, set a reasonable standard of land area. Then under the irregular block size, spatial distribution, the relationship between...
The classification of multisensor data sets, consisting of multitemporal SAR data and multispectral is addressed. In the present study, Import Vector Machines (IVM) are applied on two data sets, consisting of (i) Envisat ASAR/ERS-2 SAR data and a Landsat 5 TM scene, and (ii) TerraSAR-X data and a RapidEye scene. The performance of IVM for classifying multisensor data is evaluated and the method is...
This work presents a study about the evolution of the radar response of rice fields at X-band as a function of their phenology, by using three time series of coherent HHVV dual-pol X-band radar images acquired by the TerraSAR-X sensor at different incidence angles during a whole cultivation season. After analyzing a wide set of polarimetric observables, with particular sensitivities at different moments...
This work will present a study about the capabilities of PolIn-SAR for agriculture applications with TanDEM-X data, since this sensor will acquire for the first time single-pass PolIn-SAR data from space. The use of single-pass acquisitions is mandatory for such application due to the rapid growth of crops. In addition, X-band provides a good trade-off between the backscattering levels from ground...
In the southwest of China, Synthetic aperture radar (SAR) is anticipated to provide an important tool for forestry inventory because of its all weather capabilities. In this paper, Zhazuo area in Guizhou Province of southwest China, with typical Karst landform, was selected as the test site, and six RADARSAT-2 polarimetric images were used for experiments. Methods for forest mapping based on polarimetric...
The forth IPCC report pointed out grain production as one of the highest vulnerability by which climate change is expected to impart the most severe effects. The recent concern about food scarcity motivates the development of the present system named Remote Sensing Environmental Monitor (RSEM) for crop yield monitoring. The authors have developed a photosynthesis model for rice production to address...
With the launch of the RADARSAT-2 satellite, satellite Earth Observation entered a new era bringing to prominence the advantages of Synthetic Aperture Radar (SAR) sensors and offering new opportunities for the public sector, industry and academia (van der Sanden, 2004). RADARSAT-2, operating in C-band, is equipped with a full range of new capabilities: high-resolution modes (meter resolution), fully...
With the sustaining economic development in China, the timely, accurate and objective agricultural production information service has been highly demanded by the central and provincial governments. China Agricultural Remote Sensing Monitoring System (CHARMS) is an operational agricultural monitoring system in the Ministry of Agriculture of China to meet this demand.
China's rape acreage and total output of rapeseeds ranks among the top in the world, accounting for more than 30% of the world's total rape acreage and output of rapeseeds. This paper takes Landsat TM as the main data source in conducting the study of extracting rape acreage information in the Shou County, Anhui Province. Through analysis and calculations of phenological diversity, spectral discrimination,...
An autonomous, unmanned, aerial, remote sensing platform called AggieAir™ has been developed at Utah State University (USU) to produce multispectral aerial imagery. Its independence of a runway, low cost, and rapid turn-around time for imagery make it an efficient platform for applications in riparian areas and in wetlands management. Using third-party software, the imagery from AggieAir can be stitched...
Backscatter coefficients (σ0) of PALSAR increase about 3 to 4 dB the cultivation period of paddy rice, and correlation was seen in the height of paddy rice and σ0. However it is difficult to specific planted paddy rice and to estimate the amount of rice growth because the difference of σ0 at each fields were large. Unsupervised classification (K-means method) was carried out using Dbl and Odd components...
Aphid (Hemiptera: Aphididae) appears in wheat planting area of China almost every year and have had significant economic impacts on wheat yield. As a result, large amounts of insecticides are used to control aphid populations, which may cause environmental pollution. Therefore, remote sensing as a repeatable and rapid method is necessary for monitoring aphid damage level. The study analyzed the hyperspectral...
The objective of this paper is to report on the activities carried out during the first year of the Italian project “Use of COSMO-SkyMed data for LANDcover classification and surface parameters retrieval over agricultural sites” (COSMOLAND), funded by the Italian Space Agency. The project intends to contribute to the COSMO-SkyMed mission objectives in the agriculture and hydrology application domains.
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