23.2.8.8.2 Biomass Evaluations Pasture, Grassland, Rangeland, Savanna

Chapter Contents (Back)
Grassland Classification. Rangeland. Pasture. Savanna. Biomass.
See also Trees, Forest, Stem Volume, Aboveground Biomass Measurements.
See also Gross Primary Production, Net Primary Production, GPP, NPP.

Jin, Y.X.[Yun-Xiang], Yang, X.C.[Xiu-Chun], Qiu, J.J.[Jian-Jun], Li, J.Y.[Jin-Ya], Gao, T.[Tian], Wu, Q.[Qiong], Zhao, F.[Fen], Ma, H.L.[Hai-Long], Yu, H.[Haida], Xu, B.[Bin],
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The Impacts of Climate and Human Activities on Grassland Productivity Variation in China,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Xiao, J.Y.[Jian-Yu], Wang, Z.[Zhishu], Sun, W.[Wei], Li, S.W.[Shao-Wei], Han, F.S.[Fu-Song], Huang, S.[Shaolin], Yu, C.Q.[Cheng-Qun],
The Relative Effects of Climate Change and Phenological Change on Net Primary Productivity Vary with Grassland Types on the Tibetan Plateau,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Zhang, K.[Kun], Wang, Y.[Yu], Mamtimin, A.[Ali], Liu, Y.Q.[Yong-Qiang], Gao, J.C.[Jia-Cheng], Aihaiti, A.[Ailiyaer], Wen, C.[Cong], Song, M.[Meiqi], Yang, F.[Fan], Zhou, C.L.[Cheng-Long], Huo, W.[Wen],
Temporal and Spatial Variations in Carbon Flux and Their Influencing Mechanisms on the Middle Tien Shan Region Grassland Ecosystem, China,
RS(15), No. 16, 2023, pp. 4091.
DOI Link 2309
BibRef

Li, M.H.[Meng-Han], Wang, J.[Juanle], Li, K.[Kai], Ochir, A.[Altansukh], Togtokh, C.[Chuluun], Xu, C.[Chen],
Spatial-Temporal Pattern Analysis of Grassland Yield in Mongolian Plateau Based on Artificial Neural Network,
RS(15), No. 16, 2023, pp. 3968.
DOI Link 2309
BibRef

Vahidi, M.[Milad], Shafian, S.[Sanaz], Thomas, S.[Summer], Maguire, R.[Rory],
Estimation of Bale Grazing and Sacrificed Pasture Biomass through the Integration of Sentinel Satellite Images and Machine Learning Techniques,
RS(15), No. 20, 2023, pp. 5014.
DOI Link 2310
BibRef

Santos, M.M.[Micael Moreira], Batista, A.C.[Antonio Carlos], Rezende, E.H.[Eduardo Henrique], da Silva, A.D.P.[Allan Deyvid Pereira], Cachoeira, J.N.[Jader Nunes], dos Santos, G.R.[Gil Rodrigues], Biondi, D.[Daniela], Giongo, M.[Marcos],
Estimating the Surface Fuel Load of the Plant Physiognomy of the Cerrado Grassland Using Landsat 8 OLI Products,
RS(15), No. 23, 2023, pp. 5481.
DOI Link 2312
BibRef

Vahidi, M.[Milad], Shafian, S.[Sanaz], Thomas, S.[Summer], Maguire, R.[Rory],
Pasture Biomass Estimation Using Ultra-High-Resolution RGB UAVs Images and Deep Learning,
RS(15), No. 24, 2023, pp. 5714.
DOI Link 2401
BibRef

Jargalsaikhan, M.E.[Margad-Erdene], Ichikawa, D.[Dorj], Nagai, M.[Masahiko], Indree, T.[Tuvshintogtokh], Katiyar, V.[Vaibhav], Munkhtur, D.[Davaagerel], Dashdondog, E.[Erdenebaatar],
Aboveground Biomass Estimation and Time Series Analyses in Mongolian Grasslands Utilizing PlanetScope Imagery,
RS(16), No. 5, 2024, pp. 869.
DOI Link 2403
BibRef


Albert, P.[Paul], Saadeldin, M.[Mohamed], Narayanan, B.[Badri], Namee, B.M.[Brian Mac], Hennessy, D.[Deirdre], O'Connor, N.E.[Noel E.], McGuinness, K.[Kevin],
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation,
AgriVision22(1635-1645)
IEEE DOI 2210
Deep learning, Image resolution, Costs, Estimation, Prediction algorithms, Cameras BibRef

Lussem, U., Bolten, A., Menne, J., Gnyp, M.L., Bareth, G.,
Ultra-high Spatial Resolution Uav-based Imagery to Predict Biomass In Temperate Grasslands,
UAV-g19(443-447).
DOI Link 1912
BibRef

Manabe, V.D., Melo, M.R.S., Rocha, J.V.,
Monitoring pasture intesification in Brazilian Amazon biome with MODIS time series,
MultiTemp17(1-3)
IEEE DOI 1712
crops, farming, radiometry, AD 1980 to 2016, Brazilian official agricultural statistics time series, TWDTW BibRef

McNeill, S.J., Pairman, D., Belliss, S.E., Dalley, D., Dynes, R.,
Estimation of pasture biomass using dual-polarisation radar imagery: A preliminary study,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Trees in Pasture, Grassland, Rangeland, Savanna, Shrubs .


Last update:Mar 16, 2024 at 20:36:19