1. Develop and modifying map of benchmark sites on landscapes for sampling. 2. Collect soil samples, characterize, and measure reflectance within stratified landscapes of Woodbridge-Lodi Wine Grape District (WLWGD). 3. Analyze spectral data and compare to collaborators ' x-ray diffraction and potassium fixation analyses. 4. Classify images, when available, by applying spectral models within GIS-stratified images of WLWGD and Carneros District. 5. Additional soil characterization with validation samples collected within image classes. 6. Analyze spectral data of validation samples, refine spectral predictive models for minerals and potassium fixation. 7. Repeat image classification in both districts with refined models. Objectives 1 to ...
Soil erosion is one of the main causes of soil degradation among others (salinization, compaction, r...
Acid sulphate soils (ASS) are widely distributed around the world and can be harmful to the environm...
This work aims at improving the mapping of major mineral variability at regional scale using scale-d...
The Lodi Winegrape District is one of the largest in California and encompasses a wide diversity of ...
The incidence of potassium (K) deficiency is increasing in crops, pastures, and forestry in south-we...
the largest in California and encom-passes a wide diversity of wine-grape varieties, production syst...
High resolution data on plant available potassium (Ka) is crucial to optimize variable rate potassiu...
Variation in dryland crop yield is often related to underlying soil properties such as water availab...
Advances in remote sensing technologies are increasingly becoming more useful for resource, ecosyste...
The detection and mapping of plant-extractable potassium (Ka) using proximal soil sensing and data f...
Recent developments in remote sensing technology have provided geologists with new tools that simpli...
In the literature, a compound process (a series of processes, together) termed as salinization/alkal...
Ground-based hyperspectral imaging and terrestrial laser scanning are becoming popular in geoscience...
The detection and mapping of plant-extractable potassium (K-a) using proximal soil sensing and data ...
This experiment was developed to test the utility of remote sensing for geobotanical ex-ploration. T...
Soil erosion is one of the main causes of soil degradation among others (salinization, compaction, r...
Acid sulphate soils (ASS) are widely distributed around the world and can be harmful to the environm...
This work aims at improving the mapping of major mineral variability at regional scale using scale-d...
The Lodi Winegrape District is one of the largest in California and encompasses a wide diversity of ...
The incidence of potassium (K) deficiency is increasing in crops, pastures, and forestry in south-we...
the largest in California and encom-passes a wide diversity of wine-grape varieties, production syst...
High resolution data on plant available potassium (Ka) is crucial to optimize variable rate potassiu...
Variation in dryland crop yield is often related to underlying soil properties such as water availab...
Advances in remote sensing technologies are increasingly becoming more useful for resource, ecosyste...
The detection and mapping of plant-extractable potassium (Ka) using proximal soil sensing and data f...
Recent developments in remote sensing technology have provided geologists with new tools that simpli...
In the literature, a compound process (a series of processes, together) termed as salinization/alkal...
Ground-based hyperspectral imaging and terrestrial laser scanning are becoming popular in geoscience...
The detection and mapping of plant-extractable potassium (K-a) using proximal soil sensing and data ...
This experiment was developed to test the utility of remote sensing for geobotanical ex-ploration. T...
Soil erosion is one of the main causes of soil degradation among others (salinization, compaction, r...
Acid sulphate soils (ASS) are widely distributed around the world and can be harmful to the environm...
This work aims at improving the mapping of major mineral variability at regional scale using scale-d...