Evaluation of Simulated AVIRIS-NG Imagery Using a Spectral Reconstruction Method for the Retrieval of Leaf Chlorophyll Content
The leaf chlorophyll content (LCC) is a vital parameter that indicates plant production, stress, and nutrient availability. It is critically needed for precision farming. There are several multispectral images available freely, but their applicability is restricted due to their low spectral resoluti...
Main Authors: | Bhagyashree Verma, Rajendra Prasad, Prashant K. Srivastava, Prachi Singh, Anushree Badola, Jyoti Sharma |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/15/3560 |
Similar Items
-
Challenges in Methane Column Retrievals from AVIRIS-NG Imagery over Spectrally Cluttered Surfaces: A Sensitivity Analysis
by: Minwei Zhang, et al.
Published: (2017-08-01) -
Reflectance spectra and AVIRIS-NG airborne hyperspectral data analysis for mapping ultramafic rocks in igneous terrain
by: K. Tamilarasan, et al.
Published: (2022-10-01) -
Evaluation of AVIRIS-NG hyperspectral images for mineral identification and mapping
by: Mahesh Kumar Tripathi, et al.
Published: (2019-11-01) -
Potentials of Airborne Hyperspectral AVIRIS-NG Data in the Exploration of Base Metal Deposit—A Study in the Parts of Bhilwara, Rajasthan
by: Arindam Guha, et al.
Published: (2021-05-01) -
Improved Boreal Forest Wildfire Fuel Type Mapping in Interior Alaska Using AVIRIS-NG Hyperspectral Data
by: Christopher William Smith, et al.
Published: (2021-02-01)