Advanced Science, EarlyView.Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Some problems in classification and diagnostics of soils in Russia
Бюллетень Почвенного института им. В.В. Докучаева, 2016 Under consideration are the history and principles of two soil classifications including “Classification and diagnostics of soils of the USSR” published in 1977 and “Russian soil classification system” of 2004.
M. S. Simakova
doaj +1 more source
The soils of polar wastes and the role of B. N. Gorodkov in their study [PDF]
Chemical and biochemical reactions of soil formation, and classification of Arctic ...
Mikhaylov, I. S.
core +1 more source
The Use of Satellite Remote Sensing Data and Geographic Information Systems on Critical Land Analysis [PDF]
, 2013 Critical land classification can be analyzed using combination between Top Soil Thickness - Land erosion method, and BRLT methods. Both methods are needed soil erosion data as one of input data.
Pudyono, P. (Pudyono) +2 more
core
Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China
Advanced Science, EarlyView.This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang +3 more
wiley +1 more source
Бюллетень Почвенного института им. В.В. Докучаева, 2015 Based upon a comprehensive analysis of detailed descriptions of soil profiles and analytical data obtained by I. Sokolov, V. Zolnikov, L. Yelovskaya and other researchers, as well as upon data on the soil-forming factors, an attempt is made to determine ...
T. V. Ananko +2 more
doaj +1 more source
Soil-MobiNet: A Convolutional Neural Network Model Base Soil Classification to Determine Soil Morphology and Its Geospatial Location. [PDF]
Sensors (Basel), 2023 Gyasi EK, Purushotham S.
europepmc +1 more source
A simulation study of scene confusion factors in sensing soil moisture from orbital radar [PDF]
Simulated C-band radar imagery for a 124-km by 108-km test site in eastern Kansas is used to classify soil moisture. Simulated radar resolutions are 100 m by 100 m, 1 km by 1km, and 3 km by 3 km.
Dobson, M. C. +3 more
core +1 more source
Optimal Grazing Exclusion Duration to Enhance Soil Carbon Sequestration in Degraded Grasslands
Advanced Science, EarlyView.Across China, grazing exclusion reaches the national mean soil organic carbon recovery benchmark sooner in high‐MAP regions (> 500 mm), but recovery is much slower where MAP < 300 mm. Scaling this strategy to 70% of China's degraded grasslands would sequester about 1.52 Pg of soil carbon over 10 years—roughly 17% of annual global fossil‐fuel emissions.
Bin Zhang +9 more
wiley +1 more source
Visualization and accuracy improvement of soil classification using laser-induced breakdown spectroscopy with deep learning. [PDF]
iScience, 2023 Chu Y +7 more
europepmc +1 more source