Page 5 - Geospatial Analytics News Today

North Carolina State University researchers are investigating how riparian buffers — the forests and vegetation that surround a water source — impact water quality in the Cape Fear watershed.

A new study by North Carolina State University researchers used artificial intelligence to predict where flood damage is likely to happen in the continental United States, suggesting that recent flood maps from the Federal Emergency Management Agency do not capture the full extent of flood risk.

Findings show high probability of flood damage for more than 1 million square miles of land across the United States, far greater than flood risk zones identified in flood maps produced by the Federal Emergency Management Agency.

The findings, which were published in the journal Landscape Ecology, show that upstream forests' greater water use may leave less water downstream for forests, towns, and animals during a drought.

During a drought, thirsty mountain forests can rob downstream trees, cities, and wildlife of necessary water, a new study shows.

Researchers have used artificial intelligence to predict where flood damage is likely to happen in the continental United States. The findings suggest

Researchers have used artificial intelligence to predict where flood damage is likely to happen in the continental United States.

AI found a high probability of flood damage for more than a million square miles of US land. That's more than 790,000 more than FEMA's maps identified.

Geospatial Analytics Market Size to See Record Break Revenue $209.47 Billion by 2030, At CAGR Of 13.0%

Geospatial Analytics Market Size to See Record Break Revenue $209.47 Billion by 2030, At CAGR Of 13.0%