90 citations as recorded by crossref.

1. Change and relationship between growing season metrics and net primary productivity in forestland and grassland in China L. Cui et al. 10.1186/s13021-023-00245-x
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3. Assessment of vegetation degradation in mountainous pastures of the Western Tien-Shan, Kyrgyzstan, using eMODIS NDVI M. Zhumanova et al. 10.1016/j.ecolind.2018.07.060
4. Phytomass estimation using eMODIS NDVI and ground data in arid rangelands of Morocco H. Mahyou et al. 10.2989/10220119.2018.1436088
5. Land cover mapping in cropland dominated area using information on vegetation phenology and multi-seasonal Landsat 8 images S. Mtibaa & M. Irie 10.1007/s41207-016-0006-5
6. Improvement of evapotranspiration simulation study in the Hailar River basin under the influence of vegetation dynamics L. Wang et al. 10.1016/j.jconhyd.2024.104324
7. Estimating and Monitoring Land Surface Phenology in Rangelands: A Review of Progress and Challenges T. Matongera et al. 10.3390/rs13112060
8. Spatial downscaling algorithm of TRMM precipitation based on multiple high-resolution satellite data for Inner Mongolia, China L. Duan et al. 10.1007/s00704-017-2347-7
9. The Response of Vegetation Phenology and Productivity to Drought in Semi-Arid Regions of Northern China W. Kang et al. 10.3390/rs10050727
10. Exacerbated grassland degradation and desertification in Central Asia during 2000–2014 G. Zhang et al. 10.1002/eap.1660
11. The impacts of the eco-environmental policy on grassland degradation and livestock production in Inner Mongolia, China: An empirical analysis based on the simultaneous equation model M. Liu et al. 10.1016/j.landusepol.2019.104167
12. Application of a new model using productivity coupled with hydrothermal factors (PCH) for evaluating net primary productivity of grassland in southern China Z. Sun et al. 10.5194/se-8-545-2017
13. Outlook for carbon stock of tropical forest in the context of climate change . Dasrizal et al. 10.1088/1755-1315/299/1/012049
14. Mapping the Spatial-Temporal Dynamics of Vegetation Response Lag to Drought in a Semi-Arid Region L. Hua et al. 10.3390/rs11161873
15. Spatiotemporal variation in snow cover and its effects on grassland phenology on the Mongolian Plateau C. Sa et al. 10.1007/s40333-021-0056-7
16. Effects of preseason climate change on spring and summer phenological shifts in Inner Mongolian grasslands Z. Nie et al. 10.3389/fevo.2024.1423063
17. Assessing the degradation of grassland ecosystems based on the advanced local net production scaling method—The case of Inner Mongolia, China Y. Lang et al. 10.1002/ldr.3741
18. Diverse Responses of Vegetation Phenology to Climate Change in Different Grasslands in Inner Mongolia during 2000–2016 S. Ren et al. 10.3390/rs10010017
19. 15-Yr Biomass Production in Semiarid Nebraska Sandhills Grasslands: Part 1—Plant Functional Group Analysis B. Zhao et al. 10.1016/j.rama.2023.12.001
20. Diversity–Productivity Trade‐off During Converting Cropland to Perennial Grassland in the Semi‐arid Areas of China Y. Liu et al. 10.1002/ldr.2561
21. Borana rangeland of southern Ethiopia: Estimating biomass production and carrying capacity using field and remote sensing data Y. Fenetahun et al. 10.1016/j.pld.2022.03.003
22. Spatio-Temporal Grassland Development in Inner Mongolia after Implementation of the First Comprehensive Nation-Wide Grassland Conservation Program Z. Xue et al. 10.3390/land10010038
23. Extended growing season reduced river runoff in Luanhe River basin X. Geng et al. 10.1016/j.jhydrol.2019.124538
24. Land tenure reform and grassland degradation in Inner Mongolia, China M. Liu et al. 10.1016/j.chieco.2019.04.006
25. Vegetation greenness response to water availability in northern China from 1982 to 2006 F. Zhang & Y. An 10.5194/se-7-995-2016
26. Land cover mapping based on time‐series MODIS‐NDVI using a dynamic time warping approach: A casestudy of the agricultural pastoral ecotone of northern China B. Wei et al. 10.1002/ldr.3502
27. Vegetation Dynamics and Phenological Shifts in Long-term NDVI Time Series in Inner Mongolia, China Z. GONG et al. 10.6090/jarq.54.101
28. Using Landsat Thematic Mapper (TM) sensor to detect change in land surface temperature in relation to land use change in Yazd, Iran S. Zareie et al. 10.5194/se-7-1551-2016
29. Spatial Variation in Responses of Plant Spring Phenology to Climate Warming in Grasslands of Inner Mongolia: Drivers and Application G. Lu et al. 10.3390/plants13040520
30. sUAS and their application in observing geomorphological processes J. Gallik & L. Bolešová 10.5194/se-7-1033-2016
31. Evaluation and comparison of growing season metrics in arid and semi-arid areas of northern China under climate change L. Cui & J. Shi 10.1016/j.ecolind.2020.107055
32. Climate Warming Does Not Always Extend the Plant Growing Season in Inner Mongolian Grasslands: Evidence From a 30‐Year In Situ Observations at Eight Experimental Sites G. Wang et al. 10.1029/2019JG005137
33. Soil moisture outweighs temperature for triggering the green-up date in temperate grasslands Z. Tao et al. 10.1007/s00704-020-03145-z
34. Phenological changes in herbaceous plants in China’s grasslands and their responses to climate change: a meta-analysis W. Huang et al. 10.1007/s00484-020-01974-1
35. Improving the accuracy of models to map alpine grassland above‐ground biomass using Google earth engine Y. Shi et al. 10.1111/gfs.12607
36. The Impact of Ecological Construction Programs on Grassland Conservation in Inner Mongolia, China M. Liu et al. 10.1002/ldr.2692
37. Long time series of remote sensing to monitor the transformation research of Kubuqi Desert in China X. Dong et al. 10.1007/s12145-020-00467-4
38. Comprehensive Insights into Spatial-Temporal Evolution Patterns, Dominant Factors of NDVI from Pixel Scale, as a Case of Shaanxi Province, China H. Gu & M. Chen 10.3390/ijerph181910053
39. MODIS Environmental Data to Assess Chikungunya, Dengue, and Zika Diseases Through Aedes (Stegomia) aegypti Oviposition Activity Estimation E. Estallo et al. 10.1109/JSTARS.2016.2604577
40. Multi-Climate Factors and the Preceding Growth Stage of Vegetation Co-Regulated the Variation of the End of Growing Season in Northeast Inner Mongolia, China W. Rina et al. 10.1109/ACCESS.2020.3043788
41. Estimation and Forecasting of Rice Yield Using Phenology-Based Algorithm and Linear Regression Model on Sentinel-II Satellite Data A. Nazir et al. 10.3390/agriculture11101026
42. The environmental impact assessment of China’s ecological migration from a social–ecological perspective T. Wu et al. 10.1007/s13280-024-02011-w
43. Using remote sensing to identify the peak of the growing season at globally-distributed flux sites: A comparison of models, sensors, and biomes Z. Ge et al. 10.1016/j.agrformet.2021.108489
44. Parametric Models to Characterize the Phenology of the Lowveld Savanna at Skukuza, South Africa H. De Lemos et al. 10.3390/rs12233927
45. Examining Relationships between Heat Requirement of Remotely Sensed Green-Up Date and Meteorological Indicators in the Hulun Buir Grassland J. Guo et al. 10.3390/rs13051044
46. Grazing influences biomass production and protein content of alpine meadows L. Jarque-Bascuñana et al. 10.1016/j.scitotenv.2021.151771
47. A framework base on deep neural network (DNN) for land use land cover (LULC) and rice crop classification without using survey data M. Rasheed & S. Mahmood 10.1007/s00382-023-06874-9
48. Determinants of farmers' tree-planting investment decisions as a degraded landscape management strategy in the central highlands of Ethiopia B. Gessesse et al. 10.5194/se-7-639-2016
49. GIS approaches to creating maps based on vegetation indices for forest management Y. Savchenko et al. 10.1088/1757-899X/828/1/012021
50. Assessing the land degradation and greening response to changes in hydro‐climatic variables using a conceptual framework: A case‐study in central India S. Palmate et al. 10.1002/ldr.4014
51. Review on the Socioecological Performance of Grassland Ecological Payment and Award Policy with the Consideration of an Alternate Approach for Nonequilibrium Ecosystems Y. Yu et al. 10.1016/j.rama.2022.11.008
52. Characterizing Cropland Patterns Across North‐East Africa Using Time Series Vegetation Indices S. Measho et al. 10.1029/2022JG007075
53. Early validation study of the photochemical reflectance index (PRI) and the normalized difference vegetation index (NDVI) derived from the GCOM-C satellite in Mongolian grasslands U. Bayarsaikhan et al. 10.1080/01431161.2022.2128923
54. Evaluating Ecological Drought Vulnerability from Ecosystem Service Value Perspectives in North China T. Jiang et al. 10.3390/rs16193733
55. What follows fallow? Assessing revegetation patterns on abandoned sugarcane land in Hawaiʻi D. Farrant et al. 10.1016/j.agee.2023.108603
56. Changes in vegetation phenology on the Mongolian Plateau and their climatic determinants L. Miao et al. 10.1371/journal.pone.0190313
57. A new approach for the classification of grassland utilization in Inner Mongolia -- based on ecological sites and state-and-transition models P. Han et al. 10.1016/j.ecolind.2022.108733
58. Collective action in the pastural area of Inner Mongolia, China: Evidence from a lab-in-the-field experiment J. Wang et al. 10.1016/j.landusepol.2024.107255
59. An inflection point-based method for estimating metrics of mangrove phenology combining climatic factors and Landsat NDVI time series M. Manne & R. K. 10.2166/wcc.2024.463
60. Seasonal differences in climatic controls of vegetation growth in the Beijing–Tianjin Sand Source Region of China L. Shan et al. 10.1007/s40333-018-0075-1
61. Spatial and temporal distribution of rural settlements and influencing mechanisms in Inner Mongolia, China H. Zhou et al. 10.1371/journal.pone.0277558
62. Using Multi-Temporal Satellite Data to Analyse Phenological Responses of Rubber (Hevea brasiliensis) to Climatic Variations in South Sumatra, Indonesia F. Azizan et al. 10.3390/rs13152932
63. Drought Assessment on Vegetation in the Loess Plateau Using a Phenology-Based Vegetation Condition Index M. Li et al. 10.3390/rs14133043
64. DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection S. Belda et al. 10.1016/j.envsoft.2020.104666
65. The Vegetation–Climate System Complexity through Recurrence Analysis A. Almeida-Ñauñay et al. 10.3390/e23050559
66. Inter-annual Climate Variability and Vegetation Dynamic in the Upper Amur (Heilongjiang) River Basin in Northeast Asia G. You et al. 10.1088/2515-7620/ab9525
67. Informal Institutions and Herders’ Grazing Intensity Reduction Behavior: Evidence from Pastoral Areas in China L. Wang et al. 10.3390/land11091398
68. Impacts of Climate Change on European Grassland Phenology: A 20-Year Analysis of MODIS Satellite Data E. Bellini et al. 10.3390/rs15010218
69. Evaluating Several Vegetation Indices Derived from Sentinel-2 Imagery for Quantifying Localized Overgrazing in a Semi-Arid Region of South Africa C. Harmse et al. 10.3390/rs14071720
70. Variation in Vegetation Phenology and Its Response to Climate Change in Marshes of Inner Mongolian Y. Liu et al. 10.3390/plants12112072
71. Investigating the effect of temperature, precipitation, and soil salinity changes on Riparian Forests’ phenology using a remote sensing approach M. Sharif & S. Attarchi 10.1016/j.rsase.2024.101194
72. A dataset of vegetation phenology of Inner Mongolia (2001-2020) Y. SHAO & J. WANG 10.11922/11-6035.csd.2023.0002.zh
73. Pan-Alpine glacier phenology reveals lowering albedo and increase in ablation season length B. Di Mauro & D. Fugazza 10.1016/j.rse.2022.113119
74. Farmers' Decision-making and Land Use Changes in Kyrgyz Agropastoral Systems M. Zhumanova et al. 10.1659/MRD-JOURNAL-D-16-00030.1
75. Heterogeneous spring phenology shifts affected by climate: supportive evidence from two remotely sensed vegetation indices X. Xu et al. 10.1088/2515-7620/ab3d79
76. Documentary Evidence of 17th Century Landcover and Climate Change in Northern China and Mongolia Compared to Modern Spectral Greening Trends M. Kempf 10.3390/land11010100
77. The Driving Force Analysis of NDVI Dynamics in the Trans-Boundary Tumen River Basin between 2000 and 2015 C. Kang et al. 10.3390/su9122350
78. Effects of Major Grassland Conservation Programs Implemented in Inner Mongolia since 2000 on Vegetation Restoration and Natural and Anthropogenic Disturbances to Their Success L. Shao et al. 10.3390/su9030466
79. Grassland ecological compensation policy in China improves grassland quality and increases herders’ income L. Hou et al. 10.1038/s41467-021-24942-8
80. Characterising the Land Surface Phenology of Middle Eastern Countries Using Moderate Resolution Landsat Data S. Qader et al. 10.3390/rs14092136
81. Assessment of climate impact on vegetation dynamics over East Africa from 1982 to 2015 W. Kalisa et al. 10.1038/s41598-019-53150-0
82. Diverse sensitivity of winter crops over the growing season to climate and land surface temperature across the rainfed cropland-belt of eastern Australia J. Shen et al. 10.1016/j.agee.2017.11.023
83. Analysis of Grassland Degradation in Zona da Mata, MG, Brazil, Based on NDVI Time Series Data with the Integration of Phenological Metrics M. Hott et al. 10.3390/rs11242956
84. Inner Mongolian grassland plant phenological changes and their climatic drivers G. Wang et al. 10.1016/j.scitotenv.2019.05.125
85. ICESat/GLAS-derived changes in the water level of Hulun Lake, Inner Mongolia, from 2003 to 2009 C. Li et al. 10.1007/s11707-017-0666-8
86. Spatiotemporal variation in vegetation spring phenology and its response to climate change in freshwater marshes of Northeast China X. Shen et al. 10.1016/j.scitotenv.2019.02.265
87. Forestry feedbacks in Malezales’ degradation: Insights from past to plan future policy-driven forestry expansion over wetlands in Argentina L. Pereira et al. 10.1016/j.jnc.2023.126504
88. Drought sensitivity analysis of meteorological and vegetation indices in Dak Nong, Vietnam L. Viet & T. Thuy 10.2166/wcc.2024.661
89. Trend Analysis of Relationship between Primary Productivity, Precipitation and Temperature in Inner Mongolia T. Chen et al. 10.3390/ijgi7060214
90. Investigating long-term trends of climate change and their spatial variations caused by regional and local environments through data mining Y. Xie et al. 10.1007/s11442-018-1506-9