Accounting for training data error in machine learning applied to earth observations

A Elmes, H Alemohammad, R Avery, K Caylor… - Remote Sensing, 2020 - mdpi.com
Remote sensing, or Earth Observation (EO), is increasingly used to understand Earth system
dynamics and create continuous and categorical maps of biophysical properties and land …

Key issues in rigorous accuracy assessment of land cover products

SV Stehman, GM Foody - Remote Sensing of Environment, 2019 - Elsevier
Accuracy assessment and land cover map** have been inexorably linked throughout the
first 50 years of publication of Remote Sensing of Environment. The earliest developers of …

A review of freely accessible global datasets for the study of floods, droughts and their interactions with human societies

S Lindersson, L Brandimarte, J Mård… - Wiley …, 2020 - Wiley Online Library
The availability of planetary‐scale geospatial datasets that can support the study of water‐
related disasters in the Anthropocene is rapidly growing. We review 124 global and free …

Global forest management data for 2015 at a 100 m resolution

M Lesiv, D Schepaschenko, M Buchhorn, L See… - Scientific Data, 2022 - nature.com
Spatially explicit information on forest management at a global scale is critical for
understanding the status of forests, for planning sustainable forest management and …

[HTML][HTML] Experience of development and operation of the IKI-Monitoring center for collective use of systems for archiving, processing and analyzing satellite data

EA Loupian, AA Proshin, MA Burtsev… - … Zemli iz kosmosa, 2019 - jr.rse.cosmos.ru
The proposed article is devoted to the description of the operating experience and the
development of the IKI-Monitoring center (http://ckp. geosmis. ru/) for the collective use of …

Detect, consolidate, delineate: Scalable map** of field boundaries using satellite images

F Waldner, FI Diakogiannis, K Batchelor… - Remote sensing, 2021 - mdpi.com
Digital agriculture services can greatly assist growers to monitor their fields and optimize
their use throughout the growing season. Thus, knowing the exact location of fields and their …

[PDF][PDF] Опыт эксплуатации и развития центра коллективного пользования системами архивации, обработки и анализа спутниковых данных (ЦКП «ИКИ …

ЕА Лупян, АА Прошин, МА Бурцев… - … Земли из космоса, 2019 - researchgate.net
Предлагаемая статья посвящена описанию опыта эксплуатации и развития центра
коллективного пользования системами архивации, обработки и анализа спутниковых …

Recent advances in forest observation with visual interpretation of very high-resolution imagery

D Schepaschenko, L See, M Lesiv, JF Bastin… - Surveys in …, 2019 - Springer
The land area covered by freely available very high-resolution (VHR) imagery has grown
dramatically over recent years, which has considerable relevance for forest observation and …

[HTML][HTML] Automatic classification of land cover from LUCAS in-situ landscape photos using semantic segmentation and a Random Forest model

L Martinez-Sanchez, L See, M Yordanov… - … Modelling & Software, 2024 - Elsevier
Spatially explicit information on land cover (LC) is commonly derived using remote sensing,
but the lack of training data still remains a major challenge for producing accurate LC …

The CrowdWater game: A playful way to improve the accuracy of crowdsourced water level class data

B Strobl, S Etter, I van Meerveld, J Seibert - PloS one, 2019 - journals.plos.org
Data quality control is important for any data collection program, especially in citizen science
projects, where it is more likely that errors occur due to the human factor. Ideally, data quality …