8th International Workshop on Retrieval of Bio- & Geo-physical Parameters from SAR Data for Land Applications

Session

Forestry II: InSAR applications

15 Nov 2023, 11:00

Rome, Italy

Conveners

Forestry II: InSAR applications

• Laurent Ferro-Famil (ISAE-SUAPERO & CESBIO, University of Toulouse, France)
• Stefano Tebaldini (Politecnico di Milano)

Forestry II: InSAR applications

• Laurent Ferro-Famil (ISAE-SUAPERO & CESBIO, University of Toulouse, France)
• Stefano Tebaldini (Politecnico di Milano)

70. Boreal Forest Characterization with Sentinel-1 Coherence

Marc Herrera-Giménez (IEEC UPC)

15/11/2023, 11:00

Forestry

Importance of the specific conditions in forestry areas for the interferometric coherence retrieval, especially the effect over taller and shorter trees. A preliminary study over two different test sites on the seasonality and meteorological effects in the C-band 6-day coherence with Sentinel-1.

110. POLARIMETRIC-INTERFEROMETRIC TEMPORAL SAR COHERENCE: PHYSICAL MODELS AND RETRIEVAL ALGORITHMS FOR FOREST PARAMETER ESTIMATION

Marco Lavalle (NASA JPL)

15/11/2023, 11:20

Forestry

The polarimetric-interferometric temporal SAR coherence is defined as the normalized correlation between two SAR single-look image (SLC) samples acquired at different times and free of other decorrelation effects such those associated with thermal noise, perpendicular baseline, and processing artifacts [1]. The temporal coherence gauges “how coherent” the signal scattered from the imaged scene...

71. Analysis of the SAOCOM L-Band System Capabilities for Forest Height Estimation

Carlos López-Martínez (Universitat Politècnica de Catalunya)

15/11/2023, 11:40

Forestry

This work presents the first results of canopy forest height mapping with L-Band SAOCOM data by means of Polarimetric SAR Interferometry (Pol-InSAR). SAOCOM stands for Satélite Argentino de Observación con Microondas and it is operated by CONAE, the Argentinean space agency. For this study case, a collocated temporal series of SAOCOM full polarimetric images covering the years 2021 and 2022...

85. Combining AI Techniques with Physical Models: Forest Height Inversion from TanDEM-X InSAR Data Using a Hybrid Modeling Approach

Islam Mansour (German Aerospace Center (DLR))

15/11/2023, 13:40

Forestry

In the realm of artificial intelligence, specifically utilizing methodologies such as machine learning and deep learning, a conspicuous display of substantial potential across various parameter estimation problems has been demonstrated. However, such AI techniques are often employed without the incorporation of domain-specific knowledge or expertise raising concerns about the explainability...

63. TanDEM-X and Sentinel-1 InSAR Coherence for Mapping Forests using Deep Learning

Paola Rizzoli (DLR)

15/11/2023, 14:00

Forestry

Forests are of paramount importance for the Earth’s global ecosystem. They act as effective carbon sinks, reducing the concentration of greenhouse gas in the atmosphere, and help mitigating climate change effects. This delicate ecosystem is currently threatened and degraded by anthropogenic activities and natural hazards, such as deforestation, agricultural activities, farming, fires, floods,...

97. Applications and challenges of deep learning approaches for forest height estimation from InSAR products

Daniel Carcereri (German Aerospace Center (DLR))

15/11/2023, 14:20

Forestry

Forests form the largest terrestrial ecosystem by area, and hold primary relevance in the carbon cycle.
Continuous and precise monitoring of its dynamics, is of paramount importance to study and quantify the impact of anthropogenic caused degradation from events, such as logging and farming activities, but also wildfires, floods or storms of increasing intensities and linked to the man-made...