Assessing forest cover changes and fragmentation in the Himalayan temperate region: implications for forest conservation and management

Kaleem Mehmood, Shoaib Ahmad Anees, Akhtar Rehman, Aqil Tariq, Qijing Liu, Sultan Muhammad, Fazli Rabbi, Shao’an Pan, Wesam Atef Hatamleh

Journal of Forestry Research ›› 2024, Vol. 35 ›› Issue (1) : 82.

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Journal of Forestry Research ›› 2024, Vol. 35 ›› Issue (1) : 82. DOI: 10.1007/s11676-024-01734-6
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Assessing forest cover changes and fragmentation in the Himalayan temperate region: implications for forest conservation and management

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Abstract

This study comprehensively assessed long-term vegetation changes and forest fragmentation dynamics in the Himalayan temperate region of Pakistan from 1989 to 2019. Four satellite images, including Landsat-5 TM and Landsat-8 Operational Land Imager (OLI), were chosen for subsequent assessments in October 1989, 2001, 2011 and 2019. The classified maps of 1989, 2001, 2011 and 2019 were created using the maximum likelihood classifier. Post-classification comparison showed an overall accuracy of 82.5% and a Kappa coefficient of 0.79 for the 2019 map. Results revealed a drastic decrease in closed-canopy and open-canopy forests by 117.4 and 271.6 km2, respectively, and an increase in agriculture/farm cultivation by 1512.8 km2. The two-way ANOVA test showed statistically significant differences in the area of various cover classes. Forest fragmentation was evaluated using the Landscape Fragmentation Tool (LFT v2.0) between 1989 and 2019. The large forest core (> 2.00 km2) decreased from 149.4 to 296.7 km2, and a similar pattern was observed in medium forest core (1.00–2.00 km2) forests. On the contrary, the small core (< 1.00 km2) forest increased from 124.8 to 145.3 km2 in 2019. The perforation area increased by 296.9 km2, and the edge effect decreased from 458.9 to 431.7 km2. The frequency of patches also increased by 119.1 km2. The closed and open canopy classes showed a decreasing trend with an annual rate of 0.58% and 1.35%, respectively. The broad implications of these findings can be seen in the studied region as well as other global ecological areas. They serve as an imperative baseline for afforestation and reforestation operations, highlighting the urgent need for efficient management, conservation, and restoration efforts. Based on these findings, sustainable land-use policies may be put into place that support local livelihoods, protect ecosystem services, and conserve biodiversity.

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Kaleem Mehmood, Shoaib Ahmad Anees, Akhtar Rehman, Aqil Tariq, Qijing Liu, Sultan Muhammad, Fazli Rabbi, Shao’an Pan, Wesam Atef Hatamleh. Assessing forest cover changes and fragmentation in the Himalayan temperate region: implications for forest conservation and management. Journal of Forestry Research, 2024, 35(1): 82 https://doi.org/10.1007/s11676-024-01734-6
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References

[]
AbbasiHU, ChughtaiAH, SultanaG, DhbanA, FareaOA, IslamH. Spatio-temporal land use/cover assessment of sub-tropical forests of Thatta Division. Sindh Univer Res J Sci Series, 2019, 51(3): 547-554
CrossRef Google scholar
[]
AfridiAJ, YousafzaiAM, SaeedK, RehmanHU, SadiaH, KhanMY, NawazA, BalochAH, AliJ, UsmanK, AteeqM, ZareenS. Land topography and feasibility of an elevated- excavated fish pond a technical version khyber. J Entomol Zool Stud, 2017, 5(1): 113-116
[]
AhmadN, UllahS, ZhaoN, MumtazF, AliA, AliA, TariqA, KareemM, ImranAB, KhanIA, ShakirM. Comparative analysis of remote sensing and geo-statistical techniques to quantify forest biomass. Forests, 2023, 14(2): 379
CrossRef Google scholar
[]
AliS. Forest cover change and carbon stock assessment in swat valley using remote sensing and geographical information systems. Pure Appl Biol, 2017, 6(3): 850-856
CrossRef Google scholar
[]
AliA, AshrafMI, GulzarS, AkmalM, AhmadB. Estimation of soil carbon pools in the forests of Khyber Pakhtunkhwa Province Pakistan. J for Res, 2020, 31(6): 2313-2321
CrossRef Google scholar
[]
Ali T, Shahbaz B, Suleri A (2006) Analysis of myths and realities of deforestation in Northwest Pakistan: implications for forestry extension. Int J Agricult Biol, 8(1):1560–8530. http://www.fspublishers.org
[]
AnbarashanM, ParthasarathyN. Diversity and ecology of lianas in tropical dry evergreen forests on the Coromandel coast of India under various disturbance regimes. Flora Morphol Distrib Funct Ecol Plants, 2013, 208(1): 22-32
CrossRef Google scholar
[]
AndohJ, LeeY. Forest transition through reforestation policy integration: a comparative study between Ghana and the Republic of Korea. Forest Policy Econ, 2018, 90(January): 12-21
CrossRef Google scholar
[]
ArayaYH, CabralP. Analysis and modeling of urban land cover change in Setúbal and Sesimbra Portugal. Remote Sensing, 2010, 2(6): 1549-1563
CrossRef Google scholar
[]
BalochMYJ, ZhangW, ChaiJ, LiS, AlqurashiM, RehmanG, TariqA, TalpurSA, IqbalJ, MunirM, HusseinEE. Shallow groundwater quality assessment and its suitability analysis for drinking and irrigation purposes. Water (Switzerland), 2021, 13(23): 1-25
CrossRef Google scholar
[]
BokhariR, ShuH, TariqA, Al-AnsariN, GuluzadeR, ChenT, JamilA, AslamM. Land subsidence analysis using synthetic aperture radar data. Heliyon, 2023, 9(3)
CrossRef Google scholar
[]
ChenJ, GongP, HeC, PuR, ShiP. Land-use/land-cover change detection using improved change-vector analysis. Photogrammetr Eng Remote Sens, 2003, 69(4): 369-379
CrossRef Google scholar
[]
DuCC, BaiXY, LiYB, TanQ, ZhaoCW, LuoGJ, WuLH, ChenF, LiCJ, RanC, ZhangSR, XiongL, SongFJ, XiaoBQ, LiZL, XueYY, LongMK, LuoQ, ZhangXY, LiMH, ShenXQ, YangS. Storage form and influencing factors of karst inorganic carbon in a carbonate area in China. Sci China Earth Sci, 2024, 67(3): 725-739
CrossRef Google scholar
[]
ElagouzMH, Abou-ShleelSM, BelalAA, El-MohandesMAO. Detection of land use/cover change in Egyptian Nile delta using remote sensing. Egypt J Remote Sens Space Sci, 2020, 23(1): 57-62
CrossRef Google scholar
[]
FaizY, TufailM, JavedMT, ChaudhryMM, Naila-Siddique. Road Dust Pollution of Cd Cu Ni Pb and Zn along Islamabad Expressway, Pakistan. Microchem J, 2009, 92(2): 186-192
CrossRef Google scholar
[]
FatemaS, ChakrabartyA. Land use/land cover change with impact on land surface temperature: a case study of MKDA planning area West Bengal, India. Geogr Environ Sustainabil, 2020, 13(4): 43-53
CrossRef Google scholar
[]
FuP, WengQH. A time series analysis of urbanization induced land use and land cover change and its impact on land surface temperature with landsat imagery. Remote Sens Environ, 2016, 175: 205-214
CrossRef Google scholar
[]
HaqSM, SinghBBF, FarooqAJ, SinghBCES. Exploring and understanding the floristic richness life-form leaf-size spectra and phenology of plants in protected forests: a case study of Dachigam National Park in Himalaya Asia. Acta Ecol Sin, 2021, 41(5): 479-490
CrossRef Google scholar
[]
HasegawaS. Metabolism of Limonoids. Limonin d-ring lactone hydrolase activity in pseudomonas. J Agricult Food Chem, 1976, 24(1): 24-26
CrossRef Google scholar
[]
HatfieldJL, PruegerJH. Value of using different vegetative indices to quantify agricultural crop characteristics at different growth stages under varying management practices. Remote Sens, 2010, 2(2): 562-578
CrossRef Google scholar
[]
HeMY, DongJB, JinZ, LiuCY, XiaoJ, ZhangF, SunH, ZhaoZQ, GouLF, LiuWG, LuoCG, SongYG, MaL, DengL. Pedogenic processes in loess-paleosol sediments: clues from Li isotopes of leachate in luochuan loess. Geochim Cosmochim Acta, 2021, 299: 151-162
CrossRef Google scholar
[]
HegazyIR, KaloopMR. Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia Governorate Egypt. Int J Sustain Built Environ, 2015, 4(1): 117-124
CrossRef Google scholar
[]
HouJH, TianJX, XuL, ZhangZH, ChenZ, HeNP. Selective harvesting at rational intervals promotes carbon sequestration in temperate coniferous and broad-leaved mixed forests in China. J for Res, 2021, 32(3): 1025-1033
CrossRef Google scholar
[]
HuY, RazaA, SyedNR, AcharkiS, RayRL, HussainS, DehghanisanijH, ZubairM, ElbeltagiA. Land use/land cover change detection and NDVI estimation in Pakistan’s Southern Punjab Province. Sustainability (Switzerland), 2023, 15(4): 1-22
CrossRef Google scholar
[]
HusainT, HussainA, AhmedM. Studies of Vegetative behavior and climatic effects on some pasture grasses growing wild in Pakistan. Pak J Bot, 2009, 41(5): 2379-2386
[]
HussainH, ZhangS. Structural evolution of the Kohat Fold and Thrust Belt in the Shakardarra Area (South Eastern Kohat Pakistan). Geosciences (switzerland), 2018, 8(9): 311
CrossRef Google scholar
[]
HüttichC, GessnerU, HeroldM, StrohbachBJ, SchmidtM, KeilM, DechS. On the suitability of MODIS time series metrics to map vegetation types in dry savanna ecosystems: a case study in the Kalahari of NE Namibia. Remote Sens, 2009, 1(4): 620-643
CrossRef Google scholar
[]
IqbalMF, KhanIA. Spatiotemporal land use land cover change analysis and erosion risk mapping of Azad Jammu and Kashmir Pakistan. Egypt J Remote Sens Space Sci, 2014, 17(2): 209-229
CrossRef Google scholar
[]
IslamK, JashimuddinM, NathB, NathTK. Land Use classification and change detection by using multi-temporal remotely sensed imagery: the case of Chunati wildlife sanctuary Bangladesh. Egypt J Remote Sens Space Sci, 2018, 21(1): 37-47
CrossRef Google scholar
[]
IslamF, TariqA, GuluzadeR, ZhaoN, ShahSU, UllahM, HussainML, AhmadMN, AlasmariA, AlzuaibrFM, AskaryA, El AslamM. Comparative analysis of GIS and RS based models for delineation of groundwater potential zone mapping. Geomat Nat Haz Risk, 2023, 14(1): 27
CrossRef Google scholar
[]
JalayerS, SharifiA, Abbasi-MoghadamD, TariqA, QinS. Modeling and predicting land use land cover spatiotemporal changes: a case study in Chalus Watershed, Iran. IEEE J Select Topics Appl Earth Observ Remote Sens, 2022, 15: 5496-5513
CrossRef Google scholar
[]
KazmiDH, LiJ, RasulG, TongJ, AliG, CheemaSB, LiuL, GemmerM, FischerT. Statistical downscaling and future scenario generation of temperatures for Pakistan Region. Theoret Appl Climatol, 2015, 120(1–2): 341-350
CrossRef Google scholar
[]
KhalidN, Saeed AhmadS. Monitoring forest cover change of Margalla Hills over a period of two decades (1992–2011): a spatiotemporal perspective. J Ecosyst Ecogr, 2016
CrossRef Google scholar
[]
KhalilU, AzamU, AslamB, UllahI, TariqA, LiQ, LuL. Developing a spatiotemporal model to forecast land surface temperature: a way forward for better town planning. Sustainability, 2022, 14(19): 11873
CrossRef Google scholar
[]
KhanSH, HeX, PorikliF, BennamounM. Forest change detection in incomplete satellite images with deep neural networks. IEEE Trans Geosci Remote Sens, 2016, 55(9): 5407-5423
CrossRef Google scholar
[]
KhanAM, LiQ, SaqibZ, KhanN, HabibT, KhalidN, MajeedM, TariqA. MaxEnt modelling and impact of climate change on habitat suitability variations of economically important Chilgoza Pine (Pinus Gerardiana Wall.) in south asia. Forests, 2022, 13(5): 715
CrossRef Google scholar
[]
Khan U, Minallah N, Junaid A, Gul K, Ahmad N (2015) Parallelepiped and Mahalanobis distance based classification for forestry identification in Pakistan. In: 2015 International conference on emerging technologies (ICET): 1–6, https://doi.org/10.1109/ICET.2015.7389199
[]
Lecina-DiazJ, AlvarezA, RetanaJ. Extreme fire severity patterns in topographic convective and wind-driven historical wildfires of Mediterranean pine forests. PLoS ONE, 2014, 9(1)
CrossRef Google scholar
[]
LiangSS, ZhaoZH, LiCL, YinYC, LiHN, ZhouJZ. Age and petrogenesis of ore-forming volcanic–subvolcanic rocks in the Yidonglinchang Au deposit lesser Xing’an Range: implications for late mesozoic Au mineralization in NE China. Ore Geol Rev, 2024, 165
CrossRef Google scholar
[]
LiuJB, YangKQ, TariqA, LuLL, SoufanW, El SabaghA. Interaction of climate topography and soil properties with cropland and cropping pattern using remote sensing data and machine learning methods. Egypt J Remote Sens Space Sci, 2023, 26(3): 415-426
CrossRef Google scholar
[]
LoschiavoJ, CirulisB, ZuoY, HradskyBA, DiSJ. Mapping prescribed fire severity in South-East Australian Eucalypt forests using modelling and satellite imagery: a case study. Int J Wildland Fire, 2017, 26(6): 491
CrossRef Google scholar
[]
LyonJG, YuanD, LunettaRS, ElvidgeCD. A change detection experiment using vegetation indices. Photogramm Eng Remote Sens, 1998, 64(2): 143-150
[]
MajeedM, BhattiKH, AmjadMS. Impact of climatic variations on the flowering phenology of plant species in Jhelum District Punjab, Pakistan. Appl Ecol Environ Res, 2021
CrossRef Google scholar
[]
MajeedM, TariqA, AnwarMM, KhanAM, ArshadF, MumtazF, FarhanM, ZhangL, ZafarA, AzizM, AbbasiS, RahmanG, HussainS, WaheedM, FatimaK, ShaukatS. Monitoring of land use-land cover change and potential causal factors of climate change in Jhelum District Punjab, Pakistan through GIS and multi-temporal satellite data. Land, 2021
CrossRef Google scholar
[]
MajeedM, TariqA, HaqSM, WaheedM, AnwarMM, LiQ, AslamM, AbbasiS, MousaBG, JamilA. A detailed ecological exploration of the distribution patterns of wild poaceae from the Jhelum District (Punjab) Pakistan. Sustainability, 2022, 14(7): 3786
CrossRef Google scholar
[]
MaryR, NasirR, AlamA, TariqA, NawazR, JaviedS, ZamanQU, IslamF, NawazKS. Exploring hazard quotient cancer risk and health risks of toxic metals of the Mehmood Booti and Lakhodair Landfill Groundwaters Pakistan. Environ Nanotechnol Monit Manag, 2023, 20(May)
CrossRef Google scholar
[]
MirZ, FatimahK, BatoolH, SanaullahS, AtifS, AwanMA. Application of satellite remote sensing in forest change detection and its environmental impacts in district Abbottabad, Pakistan. J Pure Appl Agricult., 2018, 3(1): 49-62
[]
NingthoujamRK, TanseyK, BalzterH, MorrisonK, JohnsonSCM, GerardF, GeorgeC, BurbidgeG, DoodyS, VeckN, LlewellynGM, BlytheT. Mapping forest cover and forest cover change with airborne S-band radar. Remote Sens, 2016
CrossRef Google scholar
[]
PalS, ZiaulS. Detection of land use and land cover change and land surface temperature in English bazar urban centre. Egypt J Remote Sens Space Sci, 2017, 20(1): 125-145
CrossRef Google scholar
[]
PantRR, BishwakarmaK, BasnetBB, PalKB, KarkiL, DhitalYP, BhattaYR, PantBR, ThapaLB. Distribution and risk appraisal of dissolved trace elements in Begnas Lake and Rupa Lake Gandaki Province Nepal. SN Appl Sci, 2021
CrossRef Google scholar
[]
PervezW, UddinV, KhanSA, KhanJA. Satellite-based land use mapping: comparative analysis of landsat-8 advanced land imager and big data Hyperion Imagery. J Appl Remote Sens, 2016, 10(2)
CrossRef Google scholar
[]
PotapovPV, TurubanovaSA, HansenMC, AduseiB, BroichM, AltstattA, ManeL, JusticeCO. Quantifying forest cover loss in democratic republic of the Congo 2000–2010 with landsat ETM+ Data. Remote Sens Environ, 2012, 122: 106-116
CrossRef Google scholar
[]
QamerFM, AbbasS, SaleemR, ShehzadK, AliH. Forest cover change assessment in conflict-affected areas of Northwest Pakistan: the Case of Swat and Shangla Districts. J Mt Sci, 2015, 9: 297-306
CrossRef Google scholar
[]
QiuSJ, YangHY, ZhangSQ, HuangSM, ZhaoSC, XuXP, HeP, ZhouW, ZhaoY, YanN, NikolaidisN, ChristieP, BanwartSA. Carbon storage in an arable soil combining field measurements aggregate turnover modeling and climate scenarios. CATENA, 2023, 220
CrossRef Google scholar
[]
RaziqA, XuA, LiY. Monitoring of land use/land cover changes and urban sprawl in peshawar city in khyber pakhtunkhwa: an application of geo- information techniques using of multi-temporal satellite data. J Remote Sens GIS, 2016
CrossRef Google scholar
[]
RehmanAU, YasmeenK, IslamF, AneesSA, TariqA, ZubairM, BilalM, RahmanIU, RahmanSU, HatamlehWA. Assessment of heavy metal accumulation in dust and leaves of conocarpus erectus in urban areas: implications for phytoremediation. Phys Chem Earth Parts a/b/c, 2023, 132
CrossRef Google scholar
[]
Richter R, Schläper D (2013) Atmospheric/Topographic correction for satellite imagery. (ATCOR-2/3 User Guide Version 8.3.0 August 2013). Aerospace 4(August): 202
[]
RoyDP, WulderMA, LovelandTRCEW, AllenRG, AndersonMC, HelderD, IronsJR, JohnsonDM, KennedyR, ScambosTA, SchaafCB, SchottJR, ShengY, VermoteEF, BelwardAS, BindschadlerR, CohenWB, GaoF, HippleJD, HostertP, HuntingtonJ, JusticeCO, KilicA, KovalskyyV, LeeZP, LymburnerL, MasekJG, McCorkelJ, ShuaiY, TrezzaR, VogelmannJ, WynneRH, ZhuZ. Landsat-8: science and product vision for terrestrial global change research. Remote Sens Environ, 2014, 145: 154-172
CrossRef Google scholar
[]
Rustad L, Campbell J, Dukes JS, Huntington T, Lambert KF, Mohan J, Rodenhouse N (2012) Changing climate changing forests : the impacts of climate change on forests of the Northeastern United States and Eastern Canada. US Forest Service (August): 56
[]
RwangaSS, NdambukiJM. Accuracy assessment of land use/land cover classification using remote sensing and GIS. Int J Geosci, 2017, 08(04): 611-622
CrossRef Google scholar
[]
SajadS, HaqSM, YaqoobU, CalixtoES, HassanM. Tree composition and standing biomass in forests of the northern part of kashmir Himalaya. Vegetos, 2021, 34(4): 857-866
CrossRef Google scholar
[]
SajjadA, HussainA, WahabU, AdnanS, AliS, AhmadZ, AliA. Application of remote sensing and GIS in forest cover change in Tehsil Barawal District Dir, Pakistan. Am J Plant Sci, 2015, 06(09): 1501-1508
CrossRef Google scholar
[]
ShangKL, XuLF, LiuX, YinZT, LiuZX, LiXL, YinLR, ZhengWF. Study of urban heat island effect in hangzhou metropolitan area based on SW-TES algorithm and image Dichotomous model. SAGE Open, 2023, 13(4): 21582440231208852
CrossRef Google scholar
[]
SharifiA, FelegariS, TariqA, SiddiquiS. Forest cover change detection across recent three decades in Persian oak forests using convolutional neural network. Clim Impacts Sustain Nat Res Manag, 2021
CrossRef Google scholar
[]
TanaseMA, SantoroM, DeLRJ, Pérez-CabelloF, LeTT. Sensitivity of X- C- and L-band SAR backscatter to burn severity in mediterranean pine forests. IEEE Trans Geosci Remote Sens, 2010, 48(10): 3663-3675
CrossRef Google scholar
[]
TariqA, QinS. Spatio-temporal variation in surface Water in Punjab Pakistan from 1985 to 2020 using machine-learning methods with time-series remote sensing data and driving factors. Agric Water Manag, 2023, 280(February)
CrossRef Google scholar
[]
TariqA, ShuH, SiddiquiS, MousaBG, MunirI, NasriA, WaqasH, LuL, BaqaMF. Forest fire monitoring using spatial-statistical and geo-spatial analysis of factors determining forest Fire in Margalla Hills Islamabad Pakistan. Geomat Nat Haz Risk, 2021, 12(1): 1212-1233
CrossRef Google scholar
[]
TariqA, ShuH, SiddiquiS, MunirI, SharifiA, LiQ, LuL. Spatio-temporal analysis of forest fire events in the Margalla hills Islamabad pakistan using socio-economic and environmental variable data with machine learning methods. J for Res, 2021, 13: 12
CrossRef Google scholar
[]
TariqA, JiangoY, LiQ, GaoJ, LuL, SoufanW, AlmutairiKF, Habib-ur-RahmanM. Modelling mapping and monitoring of forest cover changes using support vector machine kernel logistic regression and Naive Bayes tree models with optical remote sensing data. Heliyon, 2023, 9(2)
CrossRef Google scholar
[]
Tariq A (2023) Quantitative comparison of geostatistical analysis of interpolation techniques and semiveriogram spatial dependency parameters for soil atrazine contamination attribute. In: Geoinformatics for geosciences eds. Nikolaos Stathopoulos Andreas Tsatsaris and Kleomenis B T - Geoinformatics for Geosciences Kalogeropoulos. Elsevier 261–279. https://doi.org/10.1016/B978-0-323-98983-1.00016-8
[]
UllahS, TahirAA, AkbarTA, HassanQK, DewanA, KhanAJ, KhanM. Remote sensing-based quantification of the relationships between land use land cover changes and surface temperature over the Lower Himalayan Region. Sustainability (switzerland), 2019
CrossRef Google scholar
[]
VerburgPH, OvermarsKP, HuigenMGA, DeGWT, VeldkampA. Analysis of the effects of land use change on protected areas in the Philippines. Appl Geogr, 2006, 26(2): 153-173
CrossRef Google scholar
[]
WahlaSS, KazmiJH, TariqA. Mapping and monitoring of spatio-temporal land use and land cover changes and relationship with normalized satellite indices and driving factors. Geol Ecol Landsc, 2023, 00(00): 1-17
CrossRef Google scholar
[]
YinLR, WangL, LiTQ, LuSY, TianJW, YinZT, LiXL, ZhengWF. U-Net-LSTM: time series-enhanced lake boundary prediction model. Land, 2023
CrossRef Google scholar
[]
YoungbloodA, WrightCS, OttmarRD, McIverJD. Changes in fuelbed characteristics and resulting fire potentials after fuel reduction treatments in dry forests of the blue mountains Northeastern Oregon. For Ecol Manage, 2008, 255(8–9): 3151-3169
CrossRef Google scholar
[]
YuanF, SawayaKE, LoeffelholzBC, BauerME. Land cover classification and change analysis of the twin cities (Minnesota) metropolitan area by multitemporal landsat remote sensing. Remote Sens Environ, 2005, 98(2): 317-328
CrossRef Google scholar
[]
ZhangSR, BaiXY, ZhaoCW, TanQ, LuoGJ, WangJF, LiQ, WuLH, ChenF, LiCJ, DengYH, YangYJ, XiHP. Global CO2 consumption by silicate rock chemical weathering: its past and future. Earth’s Fut, 2021, 9(5): e2020EF001938
CrossRef Google scholar
[]
ZhengX, SarwarA, IslamF, MajidA, TariqA, AliM, GulzarS, KhanMI, SardarAMA, IsrarM, JamilA, AslamM, SoufanW. Rainwater harvesting for agriculture development using multi-influence factor and fuzzy overlay techniques. Environ Res, 2023, 238
CrossRef Google scholar
[]
ZhuZ, WoodcockCE, ZhuZ, WoodcockCE. Automated cloud cloud shadow and snow detection in multitemporal landsat data: an algorithm designed specifically for monitoring land cover change. Remote Sens Environ, 2014, 152: 217-234
CrossRef Google scholar
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