Detecting, extracting, and monitoring surface water from space using optical sensors: A review

C Huang, Y Chen, S Zhang, J Wu - Reviews of Geophysics, 2018 - Wiley Online Library
Observation of surface water is a functional requirement for studying ecological and
hydrological processes. Recent advances in satellite‐based optical remote sensors have …

Application of machine learning and emerging remote sensing techniques in hydrology: A state-of-the-art review and current research trends

A Saha, SC Pal - Journal of Hydrology, 2024 - Elsevier
Water, one of the most valuable resources on Earth, is the subject of the study of hydrology,
which is of utmost importance. Satellite remote sensing (RS) has emerged as a critical tool …

[HTML][HTML] Operational flood map** using multi-temporal Sentinel-1 SAR images: A case study from Bangladesh

K Uddin, MA Matin, FJ Meyer - Remote Sensing, 2019 - mdpi.com
Bangladesh is one of the most flood-affected countries in the world. In the last few decades,
flood frequency, intensity, duration, and devastation have increased in Bangladesh …

Automated Water Extraction Index: A new technique for surface water map** using Landsat imagery

GL Feyisa, H Meilby, R Fensholt, SR Proud - Remote sensing of …, 2014 - Elsevier
Classifying surface cover types and analyzing changes are among the most common
applications of remote sensing. One of the most basic classification tasks is to distinguish …

[HTML][HTML] A comparison of land surface water map** using the normalized difference water index from TM, ETM+ and ALI

W Li, Z Du, F Ling, D Zhou, H Wang, Y Gui, B Sun… - Remote Sensing, 2013 - mdpi.com
Remote sensing has more advantages than the traditional methods of land surface water
(LSW) map** because it is a low-cost, reliable information source that is capable of …

Analysis of dynamic thresholds for the normalized difference water index

L Ji, L Zhang, B Wylie - Photogrammetric engineering & remote …, 2009 - ingentaconnect.com
The normalized difference water index (NDWI) has been successfully used to delineate
surface water features. However, two major problems have been often encountered:(a) …

A data-driven approach to predicting successes and failures of clinical trials

KM Gayvert, NS Madhukar, O Elemento - Cell chemical biology, 2016 - cell.com
Over the past decade, the rate of drug attrition due to clinical trial failures has risen
substantially. Unfortunately it is difficult to identify compounds that have unfavorable toxicity …

Computer vision and IoT-based sensors in flood monitoring and map**: A systematic review

B Arshad, R Ogie, J Barthelemy, B Pradhan… - Sensors, 2019 - mdpi.com
Floods are amongst the most common and devastating of all natural hazards. The alarming
number of flood-related deaths and financial losses suffered annually across the world call …

Global WaterPack–A 250 m resolution dataset revealing the daily dynamics of global inland water bodies

I Klein, U Gessner, AJ Dietz, C Kuenzer - Remote sensing of environment, 2017 - Elsevier
Abstract Knowledge about inland surface water distribution and its short-to long-term
variability is of high importance. Recently many studies have presented interesting results at …

Assessing and map** flood hazard, vulnerability and risk in the Upper Brahmaputra River valley using stakeholders' knowledge and multicriteria evaluation (MCE)

N Hazarika, D Barman, AK Das… - Journal of Flood Risk …, 2018 - Wiley Online Library
Assessing flood hazard, vulnerability and integrated risk has long been recognised as an
important input for the formulation of policies aiming at flood risk management. This …