- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
ESTIMATING CROP YIELDS WITH REMOTE SENSING AND DEEP LEARNING ; volume:IV-3/W2-2020 ; year:2020 ; pages:59-64
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; IV-3/W2-2020 (2020), 59-64
- Creator
-
Cunha, R. L. F.
Silva, B.
- DOI
-
10.5194/isprs-annals-IV-3-W2-2020-59-2020
- URN
-
urn:nbn:de:101:1-2020110504432974693463
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
2025-08-15T07:31:23+0200
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Cunha, R. L. F.
- Silva, B.
Other Objects (12)
Potential of Remote Sensing in Modeling Long-Term Crop Yields
Potential of Remote Sensing in Modeling Long-Term Crop Yields
Crop Growth Monitoring by Hyperspectral and Microwave Remote Sensing
Estimating agricultural water productivity using remote sensing derived data
Estimating urban spatial structure based on remote sensing data
Spatial relationship of crop yields : the implications for crop insurance
Estimating crop coefficients and actual evapotranspiration in citrus orchards with sporadic cover weeds based on ground and remote sensing data
Remote sensing of rice areas : mapping rice fields and estimating rice production employing multi-sensor remote sensing time series
Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing
SOYBEAN CROP YIELD PREDICTION BY INTEGRATION OF REMOTE SENSING AND WEATHER OBSERVATIONS
Remote Sensing Data Assimilation in Dynamic Crop Models Using Particle Swarm Optimization
Lettuce evapotranspiration and crop coefficients using eddy covariance and remote sensing observations
Potential of Remote Sensing in Modeling Long-Term Crop Yields
Potential of Remote Sensing in Modeling Long-Term Crop Yields
Crop Growth Monitoring by Hyperspectral and Microwave Remote Sensing
Estimating agricultural water productivity using remote sensing derived data
Estimating urban spatial structure based on remote sensing data
Spatial relationship of crop yields : the implications for crop insurance
Estimating crop coefficients and actual evapotranspiration in citrus orchards with sporadic cover weeds based on ground and remote sensing data
Remote sensing of rice areas : mapping rice fields and estimating rice production employing multi-sensor remote sensing time series
Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing
SOYBEAN CROP YIELD PREDICTION BY INTEGRATION OF REMOTE SENSING AND WEATHER OBSERVATIONS
Remote Sensing Data Assimilation in Dynamic Crop Models Using Particle Swarm Optimization
Lettuce evapotranspiration and crop coefficients using eddy covariance and remote sensing observations
Potential of Remote Sensing in Modeling Long-Term Crop Yields
Potential of Remote Sensing in Modeling Long-Term Crop Yields
Crop Growth Monitoring by Hyperspectral and Microwave Remote Sensing
Estimating agricultural water productivity using remote sensing derived data
Estimating urban spatial structure based on remote sensing data
Spatial relationship of crop yields : the implications for crop insurance
Estimating crop coefficients and actual evapotranspiration in citrus orchards with sporadic cover weeds based on ground and remote sensing data
Remote sensing of rice areas : mapping rice fields and estimating rice production employing multi-sensor remote sensing time series
Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing
SOYBEAN CROP YIELD PREDICTION BY INTEGRATION OF REMOTE SENSING AND WEATHER OBSERVATIONS
Remote Sensing Data Assimilation in Dynamic Crop Models Using Particle Swarm Optimization