[HTML][HTML] Crop monitoring by multimodal remote sensing: A review

P Karmakar, SW Teng, M Murshed, S Pang, Y Li… - Remote Sensing …, 2024 - Elsevier
Effective approaches to achieve food safety and security can prevent catastrophic situations.
Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily …

Land use/land cover in view of earth observation: Data sources, input dimensions, and classifiers—A review of the state of the art

PC Pandey, N Koutsias, GP Petropoulos… - Geocarto …, 2021 - Taylor & Francis
Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately
connected to many phases of the human and physical environment. Earth observation (EO) …

Breaking new ground in mapping human settlements from space–The Global Urban Footprint

T Esch, W Heldens, A Hirner, M Keil… - ISPRS Journal of …, 2017 - Elsevier
Abstract Today, approximately 7.2 billion people inhabit the Earth and by 2050 this number
will have risen to around nine billion, of which about 70% will be living in cities. The …

[HTML][HTML] Land use mapping using Sentinel-1 and Sentinel-2 time series in a heterogeneous landscape in Niger, Sahel

D Schulz, H Yin, B Tischbein, S Verleysdonk… - ISPRS Journal of …, 2021 - Elsevier
Land use maps describe the spatial distribution of natural resources, cultural landscapes,
and human settlements, serving as an important planning tool for decision makers. In the …

Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery

M Mahdianpari, B Salehi, F Mohammadimanesh… - ISPRS Journal of …, 2017 - Elsevier
Wetlands are important ecosystems around the world, although they are degraded due both
to anthropogenic and natural process. Newfoundland is among the richest Canadian …

Fusion of Sentinel-1A and Sentinel-2A data for land cover mapping: a case study in the lower Magdalena region, Colombia

N Clerici, CA Valbuena Calderón, JM Posada - Journal of Maps, 2017 - Taylor & Francis
Land cover–land use (LCLU) classification tasks can take advantage of the fusion of radar
and optical remote sensing data, leading generally to increase mapping accuracy. Here we …

Integrating Google Earth imagery with Landsat data to improve 30-m resolution land cover mapping

W Li, R Dong, H Fu, J Wang, L Yu, P Gong - Remote Sensing of …, 2020 - Elsevier
Land use and land cover maps provide fundamental information that has been used in
different kinds of studies, ranging from climate change to city planning. However, despite …

Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing

A Midekisa, F Holl, DJ Savory, R Andrade-Pacheco… - PloS one, 2017 - journals.plos.org
Quantifying and monitoring the spatial and temporal dynamics of the global land cover is
critical for better understanding many of the Earth's land surface processes. However, the …

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 …

Comparing four operational SAR-based water and flood detection approaches

S Martinis, C Kuenzer, A Wendleder… - … Journal of Remote …, 2015 - Taylor & Francis
In recent years, the German Remote Sensing Data Center (DFD) of the German Aerospace
Center (DLR) has gained a lot of experience in water surface extraction from synthetic …