Remotely sensed rivers in the Anthropocene: State of the art and prospects

H Piégay, F Arnaud, B Belletti… - Earth Surface …, 2020 - Wiley Online Library
The rivers of the world are undergoing accelerated change in the Anthropocene, and need
to be managed at much broader spatial and temporal scales than before. Fluvial remote …

[HTML][HTML] Object based image analysis for remote sensing

T Blaschke - ISPRS journal of photogrammetry and remote sensing, 2010 - Elsevier
Remote sensing imagery needs to be converted into tangible information which can be
utilised in conjunction with other data sets, often within widely used Geographic Information …

Diffusionsat: A generative foundation model for satellite imagery

S Khanna, P Liu, L Zhou, C Meng, R Rombach… - arXiv preprint arXiv …, 2023 - arxiv.org
Diffusion models have achieved state-of-the-art results on many modalities including
images, speech, and video. However, existing models are not tailored to support remote …

[HTML][HTML] UAV remote sensing for urban vegetation mapping using random forest and texture analysis

Q Feng, J Liu, J Gong - Remote sensing, 2015 - mdpi.com
Unmanned aerial vehicle (UAV) remote sensing has great potential for vegetation mapping
in complex urban landscapes due to the ultra-high resolution imagery acquired at low …

Urban vegetation mapping from aerial imagery using explainable AI (XAI)

A Abdollahi, B Pradhan - Sensors, 2021 - mdpi.com
Urban vegetation mapping is critical in many applications, ie, preserving biodiversity,
maintaining ecological balance, and minimizing the urban heat island effect. It is still …

Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture

VF Rodriguez-Galiano, M Chica-Olmo… - Remote Sensing of …, 2012 - Elsevier
A Random Forest (RF) classifier was applied to spectral as well as mono-and multi-seasonal
textural features extracted from Landsat TM imagery to increase the accuracy of land cover …

UAV flight experiments applied to the remote sensing of vegetated areas

E Salamí, C Barrado, E Pastor - Remote Sensing, 2014 - mdpi.com
The miniaturization of electronics, computers and sensors has created new opportunities for
remote sensing applications. Despite the current restrictions on regulation, the use of …

Estimation of corn yield based on hyperspectral imagery and convolutional neural network

W Yang, T Nigon, Z Hao, GD Paiao… - … and Electronics in …, 2021 - Elsevier
Corn is an important food crop in the world, widely distributed in many countries because of
its excellent environmental adaptability. Moreover, corn is an important feed source for …

Remote sensing for mapping natural habitats and their conservation status–New opportunities and challenges

C Corbane, S Lang, K Pipkins, S Alleaume… - International Journal of …, 2015 - Elsevier
Safeguarding the diversity of natural and semi-natural habitats in Europe is one of the aims
set out by the Habitats Directive (Council Directive 92/43/EEC on the conservation of natural …

Land-cover mapping using Random Forest classification and incorporating NDVI time-series and texture: A case study of central Shandong

Y Jin, X Liu, Y Chen, X Liang - International journal of remote …, 2018 - Taylor & Francis
Land-cover mapping in complex farming area is a difficult task because of the complex
pattern of vegetation and rugged mountains with fast-flowing rivers, and it requires a method …