Ontology highlight
ABSTRACT:
SUBMITTER: Shen X
PROVIDER: S-EPMC5216664 | biostudies-literature | 2017 Jan
REPOSITORIES: biostudies-literature
Shen Xinyi X Anagnostou Emmanouil N EN Mei Yiwen Y Hong Yang Y
Scientific data 20170105
Basin morphometry is vital information for relating storms to hydrologic hazards, such as landslides and floods. In this paper we present the first comprehensive global dataset of distributed basin morphometry at 30 arc seconds resolution. The dataset includes nine prime morphometric variables; in addition we present formulas for generating twenty-one additional morphometric variables based on combination of the prime variables. The dataset can aid different applications including studies of lan ...[more]