Jonathan T Macy, Kyle Kercher, Jesse A Steinfeldt, Keisuke Kawata
Fewer US Adolescents Playing Football and Public Health: A Review of Measures to Improve Safety and an Analysis of Gaps in the Literature
Public health reports (Washington, D.C. : 1974)
understanding connections human activities natural environment depends heavily information land use land cover lulc form accurate lulc maps environmental monitoring using deep learning dl rapidly growing preserve sustainable environment long term establishing effective policies regulations implementation dl valuable tool assessing environmental conditions natural resources positively impact ecosystem paper presents assessment land use land cover change detection lulccd prediction using dl techniques southwestern coastal region goa also known tourist destination india consists three components change detection cd ii quantification lulc changes iii prediction new cd assessment framework spatiotemporal encoderdecoder self attention network stedsan proposed lulccd process dual branch encoderdecoder network constructed using strided convolution downsampling encoder transpose convolution upsampling decoder assess bitemporal images spatially selfattention sa mechanism captures complex global spatialtemporal st interactions individual pixels spacetime produce distinct features branch accepts lulc map 2 years one inputs determine binary multiclass changes among bitemporal images stedsan model determines patterns trends conversion one lulc type another assessment period 2005 2018 binary change maps also compared existing state art sota cd methods stedsan overall accuracy 9493 prediction made using recurrent neural network rnn known long short term memory network lstm year 2025 experiments conducted determine areawise changes several lulc classes builtup bu crops kharif crop kc rabi crop rc zaid crop zc doubletriple dt c current fallow cf plantation pl forests evergreen forest ef deciduous forest df degradedscurb forest dsf littoral swamp ls grassland gl wasteland wl waterbodies max wmx waterbodies min wmn per analysis period 13 years net increase amount bu 125 rc 117 dtc 242 net decrease df 329 wl144 dominant classes changed findings offer thorough description identifying trends coastal areas may incorporate methodological hints future studies study also promote handling spatial temporal complexity remotely sensed data employed categorizing coastal lulc heterogeneous landscape