Carbon dioxide (CO2) emissions from Fugitive Emissions (Energy) (Mt CO2e)

Date of Image: 4/14/2026, 4/16/2026, 4/18/2026 Summary ICEYE US Backscatter is derived from scaling factors provided with ICEYE Single Look Complex (SLC) and/or Ground Range Detected (GRD) products. In the SLC product all original sensor data is retained and offers full resolution in the azimuth and range directions. Data in the GRD product is oriented in the natural range-azimuth orientation and projected to the ground surface using an Earth ellipsoid mode and may be multi-looked to reduced speckle. The units for this product are decibels (dB). Resolution: Sub 1 meter. Credits NASA Disasters Program, Processing from MSFC, ICEYE US. For derived products: “Includes copyrighted material of ICEYE US. All rights reserved.” This work utilized data made available through the NASA Commercial Satellite Data Acquisition (CSDA) program.

This table describes each metric in the Brisbane City Council dataset called Flood — Awareness — Property Parcel Metrics. Definitions for this dataset: AEP – Annual Exceedance Probability (AEP) is the probability of a flood event of a given size occurring in any one year, usually expressed as a percentage annual chance. FWPR – Floodwise Property Report (FWPR), Council's FloodWise Property Reports provide property specific flood information to enable you to plan and build in accordance with the correct requirements. Holding – A property holding is a Council-defined and managed information entity. Its boundaries are generally based on land parcels. A property holding may consist of one or multiple land parcels. Parcel – Land Parcels are the building blocks of Council properties. Land parcels (also called lots) are mapped and the title details shown on a Plan of Subdivision. The parcel is a graphical representation of surveyed boundaries together with identifiers such as Lot/Plan description and house numbers. Information about flood types can be found in open data by using this search on the Brisbane City Council open data website and opening the required dataset.

Current and recent droughts alerts from the Global Disaster Alert and Coordination System (GDACS), a cooperation of the United Nations and the European Commission, with alert level, severity and affected population.

Current and recent wildfires alerts from the Global Disaster Alert and Coordination System (GDACS), a cooperation of the United Nations and the European Commission, with alert level, severity and affected population.

Current and recent volcanic eruptions alerts from the Global Disaster Alert and Coordination System (GDACS), a cooperation of the United Nations and the European Commission, with alert level, severity and affected population.

Update Frequency:Twice a day Summary:The global Landslide Hazard Assessment for Situational Awareness (LHASA) model was developed to inform a wide range of users about landslide hazards. LHASA version 2.1 uses machine learning to show where and when landslides are most probable. Suggested Use:LHASA 2.1 was created to enable global monitoring of landslide hazard and is not a substitute for local site investigations. Red indicates high hazard and blue indicates low hazard.  LHASA nowcast "tomorrow": This map shows the relative probability of landslide occurrence tomorrow, based on rainfall estimates from GPM and forecasts from GEOS-FP. Satellite/Sensor:GPM, SMAP Resolution:30 arcseconds (~1 kilometer) Credits:NASA GSFC Users are requested to cite the following paper:Stanley, T. A., D. B. Kirschbaum, G. Benz, et al. 2021. "Data-Driven Landslide Nowcasting at the Global Scale." Frontiers in Earth Science, 9: [10.3389/feart.2021.640043]