Datasets

subject: Remote Sensing type: dataset

Total is 133 Results
Iowa Intensive Test Site 0893 (811237)

10.4231/R7T72FD1

Marvin E. Bauer

07/22/2015

The objective of this experiment was to provide a data set which can be used as an intermediate level of extrapolation between data collected from controlled experimental plots at field research stations and data collection by satellite scanners.

Agriculture Corn Crop Science Crops FSS Grass LARS Remote Sensing soil Soil Science solar illumination Soybeans spectral observations spectrometer

North Dakota Intensive Test Site 0817 (811247)

10.4231/R7PG1PP9

Marvin E. Bauer

07/22/2015

The objective of this experiment was to provide a data set which can be used as an intermediate level of extrapolation between data collected from controlled experimental plots at field research stations and data collection by satellite scanners

Agriculture barley Corn Crop Science Crops durum wheat FSS LARS oats Remote Sensing Soil Science solar illumination Soybeans spectral observations spring wheat sugar beets Sunflower

Kansas Small Grains (771202)

10.4231/R7VH5KST

Marvin E. Bauer

05/04/2015

The objective of this experiment was to determine if various small grains can be discriminated from each other based on their spectral reflectance.

Agriculture barley Crop Science Crops JSC FSAS LARS Remote Sensing rye Soil Science solar illumination spectral observations spectrometer triticale winter wheat

Soil Moisture and Residue (771701)

10.4231/R7M043BG

Eric R. Stoner

05/05/2015

The general objective is to define quantitatively the relationships between soil reflectance and physiochemical properties of soils of significance to agriculture and engineering.

Agriculture chalmers Exotech 20C-SW fincastle LARS Remote Sensing soil Soil Science solar illumination spectral observations spectrometer

Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling

10.4231/FPHP-0153

Meng-yang Lin , Mitchell R Tuinstra ORCID logo

02/11/2022

High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.

Abiotic stress Agronomy Corn Ecophysiology High-throughput Phenotyping Machine Learning nitrogen content partial least square regression relative water content Remote Sensing Sorghum

Indiana Statewide Digital Surface Model (2016-2019)

10.4231/0D14-5Q79

Jinha Jung ORCID logo , Sungchan Oh

02/16/2021

Digital Surface Model generated from the Indiana Statewide LiDAR data (2016 - 2019)

Civil Engineering Data Science High Performance Computing LiDAR Remote Sensing

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Results 1 - 10 of 133