Remote sensing for landslide investigations: An overview of recent achievements and perspectives

M Scaioni, L Longoni, V Melillo, M Papini - Remote Sensing, 2014 - mdpi.com
Landslides represent major natural hazards, which cause every year significant loss of lives
and damages to buildings, properties and lifelines. In the last decades, a significant increase …

[HTML][HTML] Improving PRISMA hyperspectral spatial resolution and geolocation by using Sentinel-2: development and test of an operational procedure in urban and rural …

G De Luca, F Carotenuto, L Genesio, M Pepe… - ISPRS Journal of …, 2024 - Elsevier
Hyperspectral (HS) satellites like PRISMA (PRecursore IperSpettrale della Missione
Applicativa) offer remarkable capabilities, yet they are constrained by a relatively coarse …

Landslides information extraction using object-oriented image analysis paradigm based on deep learning and transfer learning

H Lu, L Ma, X Fu, C Liu, Z Wang, M Tang, N Li - Remote Sensing, 2020 - mdpi.com
How to acquire landslide disaster information quickly and accurately has become the focus
and difficulty of disaster prevention and relief by remote sensing. Landslide disasters are …

Generation of synthetic high-elevation digital images from temporal sequences of high-elevation digital images

J Yang, C Guo, Y Zhiqiang, E Grant, H Ma - US Patent 10,891,735, 2021 - Google Patents
Implementations relate to detecting/replacing transient obstructions from high-elevation
digital images, and/or to fusing data from high-elevation digital images having dif ferent …

Robust automated image co-registration of optical multi-sensor time series data: Database generation for multi-temporal landslide detection

R Behling, S Roessner, K Segl, B Kleinschmit… - Remote Sensing, 2014 - mdpi.com
Reliable multi-temporal landslide detection over longer periods of time requires multi-sensor
time series data characterized by high internal geometric stability, as well as high relative …

Analyzing operational data influencing crop yield and recommending operational changes

C Guo, W Zhao, J Yang, Y Zhiqiang… - US Patent 10,949,972, 2021 - Google Patents
Implementations relate to diagnosis of crop yield predictions and/or crop yields at the field-
and pixel-level. In various implementations, a first temporal sequence of high-elevation …

Analyzing ice dynamics using Sentinel-1 data at the Solheimajoküll Glacier, Iceland

D Gómez, P Salvador, J Sanz, M Urbazaev… - GIScience & Remote …, 2020 - Taylor & Francis
The climate in southern Iceland has warmed over the last 70 years, resulting in accelerated
glacier dynamics at the Solheimajoküll glacier. In this study, we compare glacier terminus …

Evaluation of registration accuracy between Sentinel-2 and Landsat 8

L Barazzetti, B Cuca, M Previtali - … International Conference on …, 2016 - spiedigitallibrary.org
Starting from June 2015, Sentinel-2A is delivering high resolution optical images (ground
resolution up to 10 meters) to provide a global coverage of the Earth's land surface every 10 …

Multi-image robust alignment of medium-resolution satellite imagery

M Scaioni, L Barazzetti, M Gianinetto - Remote Sensing, 2018 - mdpi.com
This paper describes an automatic multi-image robust alignment (MIRA) procedure able to
simultaneously co-register a time series of medium-resolution satellite images in a bundle …

[PDF][PDF] Automatic processing of many images for 2D/3D modelling

L Barazzetti, M Gianinetto… - Digital Transformation of …, 2020 - library.oapen.org
The era of big data requires increasing automation for the analysis of huge information in a
short time and this need becomes critical when dealing with geoinformation. This chapter …