Reduction of the Vegetation and Soil Moisture Effects to Improve Topsoil Properties Retrieval Accuracy from Prisma Images-Reference-Cited by-同舟云学术

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Reduction of the Vegetation and Soil Moisture Effects to Improve Topsoil Properties Retrieval Accuracy from Prisma Images

Published:2024-07-07 Issue: Volume:215l Page:2243-2246
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Mirzaei Saham¹,Casa Raffaele²,Guarini Rocchina³,Laneve Giovanni⁴,Marrone Luca²,Misbah Khalil²,Pascucci Simone¹,Pignatti Stefano¹,Rossi Francesco⁴,Tricomi Alessia⁵

Affiliation:

1. Institute of Methodologies for Environmental Analysis (IMAA),Italian National Research Council (CNR),Tito Scalo,Italy,85050

2. University of Tuscia,Department of Agriculture and Forestry Sciences (DAFNE),Viterbo,Italy,01100

3. Italian Space Agency,Matera,Italy,75100

4. Università di Roma La Sapienza,Scuola di Ingegneria Aerospaziale,Roma,00138

5. e-GEOS S.p.A,Roma,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642310.pdf?arnumber=10642310

Reference11 articles.

1. Assessing soil moisture levels using visible UAV imagery and machine learning models

2. The PRISMA imaging spectroscopy mission: overview and first performance analysis

3. The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation

4. Vis-NIR spectroscopy as an eco-friendly method for monitoring pedoenvironmental variations and pedological assessments in Lut Watershed, Central Iran

5. Reducing the Influence of Soil Moisture on the Estimation of Clay from Hyperspectral Data: A Case Study Using Simulated PRISMA Data

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