Launay et al., 2005 - Google Patents
Assimilating remote sensing data into a crop model to improve predictive performance for spatial applicationsLaunay et al., 2005
View PDF- Document ID
- 6362340780019877270
- Author
- Launay M
- Guerif M
- Publication year
- Publication venue
- Agriculture, ecosystems & environment
External Links
Snippet
The use of crop models on large areas for diagnosing crop growing conditions or predicting crop production is hampered by the lack of sufficient spatial information about model inputs. We propose here a way of spatializing the model that assimilates information obtained from …
- 235000004418 Durio kutejensis 0 abstract description 55
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/08—Adaptations of balloons, missiles, or aircraft for meteorological purposes; Radiosondes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Launay et al. | Assimilating remote sensing data into a crop model to improve predictive performance for spatial applications | |
Pôças et al. | Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches | |
Duchemin et al. | A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index | |
Xia et al. | Mapping evapotranspiration with high-resolution aircraft imagery over vineyards using one-and two-source modeling schemes | |
Tickle et al. | Assessing forest productivity at local scales across a native eucalypt forest using a process model, 3PG-SPATIAL | |
Sánchez et al. | Monitoring daily evapotranspiration at a regional scale from Landsat-TM and ETM+ data: Application to the Basilicata region | |
Leroux et al. | Crop monitoring using vegetation and thermal indices for yield estimates: case study of a rainfed cereal in semi-arid West Africa | |
Biggs et al. | Remote sensing of actual evapotranspiration from croplands | |
Clevers et al. | Using SPOT data for calibrating a wheat growth model under mediterranean conditions | |
Wassenaar et al. | Modelling wheat yield responses to soil and climate variability at the regional scale | |
Ihuoma et al. | Integration of satellite imagery and in situ soil moisture data for estimating irrigation water requirements | |
Boschetti et al. | Estimation of rice production at regional scale with a Light Use Efficiency model and MODIS time series. | |
Graf et al. | Insights from field phenotyping improve satellite remote sensing based in-season estimation of winter wheat growth and phenology | |
Coops | Improvement in predicting stand growth of Pinus radiata (D. Don) across landscapes using NOAA AVHRR and Landsat MSS imagery combined with a forest growth process model (3-PGS) | |
Neale et al. | Cotton canopy reflectance under variable solar zenith angles: Implications of use in evapotranspiration models | |
Geli | Modeling spatial surface energy fluxes of agricultural and riparian vegetation using remote sensing | |
Kjaersgaard et al. | Comparison of the performance of net radiation calculation models | |
Abimbola et al. | Improving crop modeling to better simulate maize yield variability under different irrigation managements | |
Wijmer et al. | AgriCarbon-EO v1. 0.1: large-scale and high-resolution simulation of carbon fluxes by assimilation of Sentinel-2 and Landsat-8 reflectances using a Bayesian approach | |
Corbari et al. | A fully coupled crop-water-energy balance model based on satellite data for maize and tomato crops yield estimates: The FEST-EWB-SAFY model | |
Bansouleh et al. | Sensitivity analysis of performance of crop growth simulation models to daily solar radiation estimation methods in Iran | |
Hassaballa et al. | Sub-pixel analysis to enhance the accuracy of evapotranspiration determined using MODIS images | |
Gommes | An introduction to the art of agrometeorological crop yield forecasting using multiple regression | |
Walker | A New Approach to Retrieving Soil Moisture from SMAP over the Corn Belt | |
Caldwell et al. | Improving irrigation water use estimates with remote sensing technologies: a feasibility study for Texas |