Works matching IS 2097034X AND DT 2023 AND VI 35 AND IP 2
1
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 176, doi. 10.6046/zrzyyg.2022358
- CAI Zhenfeng;
- JI Peng;
- ZHUFU Xuezhi;
- LIU Yufang
- Article
2
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 25, doi. 10.6046/zrzyyg.2022141
- ZHANG Xian;
- LI Wei;
- CHEN Li;
- YANG Zhaoying;
- DOU Baocheng;
- LI Yu;
- CHEN Haomin
- Article
3
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 1, doi. 10.6046/zrzyyg.2022145
- ZHAO Hailan;
- MENG Jihua;
- JI Yunpeng
- Article
4
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 16, doi. 10.6046/zrzyyg.2022143
- LI Hemou;
- BAI Juan;
- GAN Fuping;
- LI Xianqing;
- WANG Zekun
- Article
5
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 287, doi. 10.6046/zrzyyg.2022068
- HU Feng;
- LI Xue;
- ZUO Jin;
- SONG Shanhai;
- TANG Hongxiang;
- GU Xiaoping
- Article
6
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 295, doi. 10.6046/zrzyyg.2022151
- Article
7
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 202, doi. 10.6046/zrzyyg.2021163
- LIU Hui;
- XU Xinyue;
- CHEN Mi;
- CHEN Fulong;
- DING Ruili;
- LIU Fei
- Article
8
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 271, doi. 10.6046/zrzyyg.2022091
- Article
9
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 245, doi. 10.6046/zrzyyg.2022070
- FANG He;
- ZHANG Yuhui;
- HE Yue;
- LI Zhengquan;
- FAN Gaofeng;
- XU Dong;
- ZHANG Chunyang;
- HE Zhonghua
- Article
10
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 236, doi. 10.6046/zrzyyg.2022082
- ZHONG Le;
- ZENG Yan;
- QIU Xinfa;
- SHI Guoping
- Article
11
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 264, doi. 10.6046/zrzyyg.2022120
- JIANG Yi;
- MA Kewei;
- WANG Yunkai;
- YANG Hongjun;
- HE Yanlan
- Article
12
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 212, doi. 10.6046/zrzyyg.2021413
- PAN Jianping;
- FU Zhanbao;
- DENG Fujiang;
- CAI Zhuoyan;
- ZHAO Ruiqi;
- CUI Wei
- Article
13
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 105, doi. 10.6046/zrzyyg.2022100
- ZHENG Zongsheng;
- LIU Haixia;
- WANG Zhenhua;
- LU Peng;
- SHEN Xukun;
- TANG Pengfei
- Article
14
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 182, doi. 10.6046/zrzyyg.2022153
- YU Hairuo;
- GONG Huili;
- CHEN Beibei;
- ZHOU Chaofan
- Article
15
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 230, doi. 10.6046/zrzyyg.2022129
- LI Na;
- GAN Fuping;
- DONG Xinfeng;
- LI Juan;
- ZHANG Shifan;
- LI Tongtong
- Article
16
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 255, doi. 10.6046/zrzyyg.2022115
- MA Shibin;
- PI Yingnan;
- WANG Jia;
- ZHANG Kun;
- LI Shenghui;
- PENG Xi
- Article
17
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 149, doi. 10.6046/zrzyyg.2022099
- WANG Haiwen;
- JIA Junqing;
- LI Beichen;
- DONG Yongping;
- HA Sier
- Article
18
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 112, doi. 10.6046/zrzyyg.2022163
- WANG Jue;
- GUO Zhen;
- ZHANG Zhiwei;
- XU Wenxue;
- XU Hao
- Article
19
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 140, doi. 10.6046/zrzyyg.2022136
- XIONG Dongyang;
- ZHANG Lin;
- LI Guoqing
- Article
20
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 167, doi. 10.6046/zrzyyg.2022093
- ZHANG Guojian;
- LIU Shengzhen;
- SUN Yingjun;
- YU Kaijie;
- LIU Lina
- Article
21
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 89, doi. 10.6046/zrzyyg.2022095
- AN Na;
- ZHAO Yingying;
- SUN Yaqin;
- ZHANG Aizhu;
- FU Hang;
- YAO Yanjuan;
- SUN Genyun
- Article
22
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 132, doi. 10.6046/zrzyyg.2022134
- LYU Yongqiang;
- YU Xinwei;
- YANG Shuo;
- ZHENG Xinqi
- Article
23
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 157, doi. 10.6046/zrzyyg.2022126
- QIU Lei;
- ZHANG Xuezhi;
- HAO Dawei
- Article
24
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 193, doi. 10.6046/zrzyyg.2022108
- GUO Xiaomeng;
- FANG Xiuqin;
- YANG Lulu;
- CAO Yu
- Article
25
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 97, doi. 10.6046/zrzyyg.2022158
- DIAO Mingguang;
- LIU Yong;
- GUO Ningbo;
- LI Wenji;
- JIANG Jikang;
- WANG Yunxiao
- Article
26
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 42, doi. 10.6046/zrzyyg.2022235
- YU Sen;
- JIA Mingming;
- CHEN Gao;
- LU Yingying;
- LI Yi;
- ZHANG Bochun;
- LU Chunyan;
- LI Huiying
- Article
27
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 70, doi. 10.6046/zrzyyg.2022207
- LI Tianchi;
- WANG Daoru;
- ZHAO Liang;
- FAN Renfu
- Article
28
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 122, doi. 10.6046/zrzyyg.2022117
- LIANG Xiya;
- WANG Juanle;
- LI Pengfei;
- DAVAADORJ, Davaasuren
- Article
29
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 50, doi. 10.6046/zrzyyg.2022214
- ZHU Lin;
- HUANG Yuling;
- YANG Gang;
- SUN Weiwei;
- CHEN Chao;
- HUANG Ke
- Article
30
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 61, doi. 10.6046/zrzyyg.2022209
- SHI Min;
- LI Huiying;
- JIA Mingming
- Article
31
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 34, doi. 10.6046/zrzyyg.2022296
- HOU Yingzhuo;
- JI Ling;
- XING Qianguo;
- SHENG Dezhi
- Article
32
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 276, doi. 10.6046/zrzyyg.2022113
- Article
33
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 220, doi. 10.6046/zrzyyg.2022131
- HUA Yongchun;
- CHEN Jiahao;
- SUN Xiaotian;
- PEI Zhiyong
- Article
34
- Remote Sensing for Natural Resources, 2023, v. 35, n. 2, p. 80, doi. 10.6046/zrzyyg.2022319
- ZHU Boqin;
- YAN Zhaojin;
- XIE Jing;
- LIU Hong;
- SONG Xiaoqing;
- XIANG Xiqiong
- Article