Mapping local climate zones for cities: A large review

F Huang, S Jiang, W Zhan, B Bechtel, Z Liu… - Remote Sensing of …, 2023 - Elsevier
The local climate zone (LCZ) system provides a universal classification mechanism for
urban and natural landscapes and plays an increasingly important role in urban climate …

Coastline extraction using remote sensing: A review

W Sun, C Chen, W Liu, G Yang, X Meng… - GIScience & Remote …, 2023 - Taylor & Francis
Coastlines are important basic geographic elements and mapping their spatial and attribute
changes can help monitor, model and manage coastal zones. Traditional studies focused on …

[HTML][HTML] LCZ Generator: a web application to create Local Climate Zone maps

M Demuzere, J Kittner, B Bechtel - Frontiers in Environmental Science, 2021 - frontiersin.org
Since their introduction in 2012, Local Climate Zones (LCZs) emerged as a new standard for
characterizing urban landscapes, providing a holistic classification approach that takes into …

[HTML][HTML] The urban morphology on our planet–Global perspectives from space

XX Zhu, C Qiu, J Hu, Y Shi, Y Wang, M Schmitt… - Remote Sensing of …, 2022 - Elsevier
Urbanization is the second largest mega-trend right after climate change. Accurate
measurements of urban morphological and demographic figures are at the core of many …

Comparative assessment of various machine learning‐based bias correction methods for numerical weather prediction model forecasts of extreme air temperatures in …

D Cho, C Yoo, J Im, DH Cha - Earth and Space Science, 2020 - Wiley Online Library
Forecasts of maximum and minimum air temperatures are essential to mitigate the damage
of extreme weather events such as heat waves and tropical nights. The Numerical Weather …

A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency

Y Kang, E Jang, J Im, C Kwon - GIScience & Remote Sensing, 2022 - Taylor & Francis
Although remote sensing of active fires is well-researched, their early detection has received
less attention. Additionally, simple threshold approaches based on contextual statistical …

[HTML][HTML] Combining expert and crowd-sourced training data to map urban form and functions for the continental US

M Demuzere, S Hankey, G Mills, W Zhang, T Lu… - Scientific data, 2020 - nature.com
Although continental urban areas are relatively small, they are major drivers of
environmental change at local, regional and global scales. Moreover, they are especially …

Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution

THK Chen, C Qiu, M Schmitt, XX Zhu, CE Sabel… - Remote Sensing of …, 2020 - Elsevier
Landsat imagery is an unparalleled freely available data source that allows reconstructing
land-cover and land-use change, including urban form. This paper addresses the challenge …

So2Sat LCZ42: A benchmark data set for the classification of global local climate zones [Software and Data Sets]

XX Zhu, J Hu, C Qiu, Y Shi, J Kang… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
Gaining access to labeled reference data is one of the great challenges in supervised
machine-learning endeavors. This is especially true for an automated analysis of remote …

[HTML][HTML] Forecasting vapor pressure deficit for agricultural water management using machine learning in semi-arid environments

A Elbeltagi, A Srivastava, J Deng, Z Li, A Raza… - Agricultural Water …, 2023 - Elsevier
Precise evapotranspiration (ET) estimation is critical for agricultural water management,
particularly in water-stressed developing countries. Vapor Pressure Deficit is one of the ET …